Dr. Dipankar Das

Assistant Professor, Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

dipankar.dipnil2005.gmail.com
www.dasdipankar.com

About Me

Some information about myself.

Assistant Professor, Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

Young Faculty Research Fellow, Visvesvaraya PhD Scheme for Electronics & IT, Media Lab Asia, Ministry of Electronics and Information Technology, India

My photo

Dr. Dipankar Das

Assistant Professor

My areas of interest are "Natural Language Processing", "Social Networks" "Sentiment Analysis", "Information Extraction", "Ontology Engineering", "Psycho linguistics", "Machine Learning", "Code-Mixing" etc.

114

No. of Publications

10

Year Experiences

5

Awards Won

2

Projects Done

My Experience

The only source of knowledge is experience.

Visiting Faculty

CSE Department, NIT Mizoram, 2014-2015

Assistant Professor

CSE Department, NIT Meghalaya, 2012-2014

Research Fellow

India-Japan Cooperative Programme-Project (DST-JST), Multidisciplinary research field on “Sentiment Analysis where AI meets Psychology” 2010-2012, CSE Department, Jadavpur University, Kolkata, India-700032

Visiting Research Scholar

Precision and Intelligence (P&I) Laboratory,Advanced Information Processing Division:Okumura Group, Tokyo Institute of Technology (TIT), Tokyo, 2011

Research Engineer

DIT, MCIT, Government of India sponsored project titled “Development of the Cross-Lingual Information Access (CLIA) System” 2009-2010, CSE Department, Jadavpur University, Kolkata, India-700032

Visiting Faculty

CSE Department, GCETTS, 2008-2009

My Achievement

A dream becomes a goal when action is taken toward its achievement.

  1. Organizing "Shared Task in Sentiment Analysis for Indian Languages (Code Mixed)" in conjunction with ICON, 2017, Jadavpur University, Kolkata, India.
  2. Organizing "NLP Tool Contest" in conjunction with ICON 2017, India.
  3. Organized Workshop "SAAIP 2016" in conjunction with IJCAI, USA.
  4. Workshop on Language Technologies for Indian Social Media Texts @ ICON 2014, December, Goa, India
  5. Ph.D. Thesis (Abstract): "Analysis and Tracking of Emotions in English and Bengali Texts: A Computational Approach .
  6. Programme Committee member of ICON, ESSEM 2013 , MIKE , MABSDA @ WWW 2013, SAAIP @ IJCNLP, SAAIP @ COLING, SENTIRE @ IEEE ICDM, WISMEA @ SBIA, WISDOM @ KDD, SAAL @ IEA-AIE.
  7. Organizing Workshop TBTCIA 2013 Workshop on Techniques on Basic Tool Creation and Its Applications " in conjuction with 10th International Conference on Natural Language Processing (ICON-2013) , CDAC Noida, India, 18-20 December, 2013.
  8. Organizing Workshop AdSent 2013 "Internet Advertising Using Sentiment Analysis" in conjunction with IEEE International Conference on Data Mining (ICDM 2013), Dallas, Texas.
  9. Organized TechFest "COGNITIA" , NITM, Shillong, India.
  10. Organized Workshop SAAIP "Sentiment Analysis where AI meets Psychology" in conjunction with 24th International Conference on Computational Linguistics (COLING 2012), IITB, Mumbai, India.
  11. Organized Workshop SAAIP "Sentiment Analysis where AI meets Psychology" in conjunction with 5th International Joint Conference on Natural Language Processing (IJCNLP 2011), Chiang Mai, Thailand.
  12. Master Thesis Studies on Emotion Analysis at Word and Sentence Level published by LAP LAMBERT Academic Publishing GmbH & Co., KG Heinrich-Bocking-Str. 6-8, 66121, Saarbrucken, Germany, Number: 36889, ISBN: 978-3-8473-0880-5

Research Team

Have Faith. Trust in the Lord and he shall Guide you.

    Dr. Braja Gopal Patra

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    Braja Gopal Patra received his Ph. D. in Computer Science and Engineering from Jadavpur University in 2017 under the guidance of Prof. Sivaji Bandyopadhyay and Dr. Dipankar Das. Currently, he is working as a Postdoctoral Fellow at The University of Texas Health Science Center at Houston (UTHealth). His research interests are Music Mood Classifications, Sentiment Analysis and so on under Natural Language Processing.

    Anupam Mondal

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    Anupam Mondal received his B. Engg. in Information Technology from Jadavpur University (India) in 2007 and his M. Tech. in Computer Science and Engineering from the Kalyani University in 2010. He is currently working as an Assistant Professor in Institute of Engineering and Management (IEM) Kolkata, India from August 2017. Currently, he is pursuing Ph.D. under the supervision of Prof. Sivaji Bandyopadhyay (JU, India), Dr. Erik Cambria (NTU, Singapore) and Dr. Dipankar Das (JU, India) from Jadavpur University, India. His research interests are Medical Data Analysis, Sentiment Analysis and Recommendation System in Natural Language Processing.

    Monalisa Dey

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    Monlisa Dey received her B. Tech. in Computer Science of Engineering from JIS College of Engineering (WBUT,(India) in 2010 and her M. Tech. in Computer Science and Engineering from the National Institute of Technology (Durgapur) in 2012. She is currently working as an Assistant Professor in Institute of Engineering and Management (IEM) Kolkata, India from August 2016. She also worked as an Assistant Professor in JIS College of Engineering, India. Currently, she is doing Ph.D. (2017 - ) under the supervision of Dr. Dipankar Das (JU, India) from Jadavpur University, India. Her research interests are Sentiment Analysis, Summarization, Information Extraction and Information Retrieval in Natural Language Processing.

    Sandip Sarkar

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    He received his B.Tech in Computer Science and Engineering from Jalpaiguri Govt. Engineering College in 2011 and completed his M.E in Computer Science and Engineering from Jadavpur University in 2014. Now he is pursuing his Ph.D. in Computer Science and Engineering from the same University. In the same time he is also working as an Assistant Professor in Computer Science and Application department in Hijli College from 2016. His current research interests include Question Answering, Information Retrieval and Deep Learning.

    Sainik Kumar Mahata

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    Sainik is a Visveswaraya Ph.D Fellow at Jadavpur University under the guidance of Prof. Sivaji Bandyopadhyay and Dr. Dipankar Das since 2017. His topic is "Studies on Revisiting Aids - Classification, Clause, Code-Mixing, Neural Nets and Sentiment". He has strong proficiency in Python, Natural Language Processing and Machine Translation. He was previously associated with Institute of Engineering and Management, JIS College of Engineering and Narula Institute of Technology in the capacity of Assistant Professor. He has done his B.E and M.Tech, in Computer Science and Engineering, from Nagpur University (2005-2009) and West Bengal University of Technology (2009-2011) respectively.

    Subhabrata Dutta

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    Subhabrata Dutta received his M.Tech. in Computer Science and Engineering from Jadavpur University. Currently, he is pursuing his Ph.D. in the Department of Computer Science and Engineering under the guidance of Dr. Dipankar Das. His research interests are Discourse Processing, Machine Learning, and Deep Learning under Natural Language Processing.

    Riyanka Manna

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    Riyanka Manna received her B.Tech in computer Science & Engineering from WBUT and completed M.Tech in CSE from Lovely Professional University, Punjab. Currently, she is doing Ph.D. from Jadavpur University under the guidance of Dr. Dipankar Das and Prof. Alexander Gelbukh, CIC-IPN, Mexico. Her research interests are Question Answering, Informatiion Retrival, Natural Language Processing, and Deep Learning.

    Chhanda Roy

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    Chhanda Roy is Electrical Engineer from Jadavpur University with PG Diploma in Computer Science from the same institute. She is an experienced software industry practitioner specialized in Airlines domain, having worked on a host of technologies and platforms. She started her Ph.D. with Jadavpur University in 2017 after 30 years of industry exposure. Her doctoral research is in the area of sentiment analysis of student communities to help mining their behavioral pattern. This includes application of NLP, Text and Social Media Analytics. Her doctoral thesis work is jointly supervised by Dr. Dipankar Das and Dr. Chitrita Chaudhuri.

    Apurba Paul

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    Apurba Paul received his M.E. in Computer Science & Engineering from Bengal Engineering and Science University, Shibpur, Howrah, West Bengal. Currently, he is pursuing his Ph.D. under the guidance of Dr. Dipankar Das from Jadavpur University, Kolkata. His research area mainly revolves around Development and Visualization of Ontology from Texts in Natural Language Processing(NLP). Apart from NLP, his interest lies in the area of Text Mining, Data Mining, Machine Learning. He also likes to do the program using Python, Java, and C.

Publications

Publication is not all that it is cracked up to be. But writing is.

Journals

  1. B. G. Patra, D. Das, and S. Bandyopadhyay. 2018. Multimodal Mood Classification of Hindi andWestern Songs. Journal of Intelligent Information Systems (JIIS), DOI: 10.1007/s10844-018-0497-4, Springer. 
  2. Mahata SK, Das D, Bandyopadhyay S. MTIL2017: Machine Translation Using Recurrent Neural Network on Statistical Machine Translation. Journal of Intelligent Systems. 
  3. A. Pathak, P. Pakray, S. Sarkar, D. Das and A. Gelbukh, 2017 "MathIRs: Scientific Documents Retrieval System", Computaci´on y Sistemas. Thematic issue: Authorship Analysis (Guest editors: M. Montes, L. Villase~nor), Vol 21, No 2, pp. 253--265, 2017, ISSN: 2007-9737 [Scopus indexed] 
  4. R. Manna, P. Pakray, S. Banerjee, D. Das and A. Gelbukh (2017 ). CookingQA: A Question Answering System Based on Cooking Ontology. In the journal of Advances in Computational Intelligence. MICAI 2016. Lecture Notes in Computer Science, vol 10061. Springer, Cham. 
  5. B. G. Patra, D. Das and S. Bandyopadhyay. 2016. Labeling Data and Developing Supervised Framework for Hindi Music Mood Analysis. In the Journal of Intelligent Information Systems (JIIS), Springer, ISSN: 0925-9902 (print version) ISSN: 1573-7675  
  6. B. G. Patra, D. Das and S. Bandyopadhyay. 2016. Multimodal Mood Classification Framework for Hindi Songs. In the journal of Computacion y Sistemas (CyS), ISSN: 1405-5546  
  7. T. Chakraborty, D. Das and S. Bandyopadhyay. 2014. . Identifying Bengali Multiword Expressions using Semantic Clustering. In the Research Journal on Lingvisticae Investigationes , vol. 37 (1), pp. 106-128, John Benjamins Publishing Company, ISSN 0378-4169, E-ISSN 1569-9927. 
  8. A. Kundu, D. Das and S. Bandyopadhyay. 2013. Scene Boundary Detection from Movie Script Dialogue - A Genetic Algorithm Approach. In the Research Journal on Computer Science and Computer Engineering with Applications, POLIBITS, vol. 47, ISSN 1870-9044. 
  9. D. Das and S.Bandyopadhyay. 2013. Emotion Coreferencing - Emotional Expression, Holder and Topic. In the International Journal of Computational Linguistics and Chinese Language Processing (IJCLCLP), vol. 18, No. 1, ISSN No. 1027-376X 
  10. Poria, S.; Gelbukh, A.; Hussain, A.; Howard, N.; Das, D.; Bandyopadhyay, S., "Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining," Intelligent Systems, IEEE , vol.28, no.2, pp.31,38, March-April 2013, doi: 10.1109/MIS.2013.4
  11. D. Das and S.Bandyopadhyay. 2012. Sentence Level Emotion and Valence Tagging. In the Journal of Cognitive Computation, vol. 4, No. 4, Print edition ISSN: 1866-9956, Web edition ISSN: 1866-9964, DOI: 10.1007/s12559-012-9173-0, pp. 1-16. (SCI Indexed, IF: 1.0)
  12. D. Das and S.Bandyopadhyay. 2011. Tracking Emotions of Bloggers – A Case Study for Bengali. In the Research journal on Computer  science and computer engineering with applications, POLIBITS, vol. 45, pp. 53-59, ISSN 1870-9044.
  13. D. Das and S.Bandyopadhyay. 2011. Document level Emotion Tagging – Machine Learning and Resource based Approach. In the journal of Computacion y Sistemas (CyS), ISSN: 1405-5546, vol. 15, No. 2 (2011), pp. 221-234.
  14. D. Das and S.Bandyopadhyay. 2010. Sentence Level Emotion Tagging on Blog and News Corpora, In the Journal of Intelligent System (JIS), ISSN No.  0334-1860, vol. 19(2). pp. 125-142.

Book Chapters

  1. E. Cambria, D. Das, S. Bandyopadhyay and F. Antonio. 2017. A Practical Guide to Sentiment Analysis. with Springer publishing house in the series http://www.springer.com/series/13199, LNCS, 978-3-319-55392
  2. D. Das and S. Bandyopadhyay. 2013. Building Language Resources for Emotion Analysis in Bengali. In the “TECHNICAL CHALLENGES AND DESIGN ISSUES IN BANGLA LANGUAGE PROCESSING”, Karim et al., (Eds.), IGI Global ch. 16, pp. 346-368.
  3. E. Cambria, D. Rajagopal, D. Olsher and D. Das. 2013. Big Social Data Analysis. In the Book of “Big Data Computing”, Rajendra Akerkar (Eds.), By Taylor & Francis Group/CRC, ch. 7, pp. 127-141, Hardback: 978-1-46-657837-1, eBook: 978-1-46-657838-8 
  4. D. Das and S. Bandyopadhyay. 2013. Emotion Analysis on Social Media - Natural Language Processing Approaches and Applications. "Online Collective Action: Dynamics of the Crowd in Social Media". Springer, LNCS
  5. D.Das and S.Bandyopadhyay. 2013. Holder and Topic based Analysis of Emotions on Blog Texts: a Case Study for Bengali. In the book of "Studies in Mining Social Networks and Security", Information Reuse and Integration In Academia And Industry By Springer Verlag, Tansel Özyer, Keivan Kianmehr, Mehmet Tan, Jia Zeng (Eds.), LNCS

Conference and Workshop

    2018

    1. A. Mondal, D. Das, E. Cambria, S. Bandyopadhyay. 2018. WME 3.0: An Enhanced and Validated Lexicon of Medical Concepts. In the proceedings of 9th Global WordNet Conference (GWC).  
    2. S. Mandal, S K Mahata, D. Das. Preparing Bengali-English Code-Mixed Corpus for Sentiment Analysis of Indian Languages. InThe 13th Workshop on Asian Language Resources 2018 May 7 (p. 57).  
    3. B. G. Patra, G. Das, and D. Das. 2018. Multimodal Author Proling for Arabic, English, and Spanish - Notebook for PAN at CLEF 2018. In Proceedings of the PAN 2018 at CLEF-2018, Avignon, France.  
    4. B. G. Patra, D. Das, and A. Das. 2018. Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL Code-Mixed Shared Task @ICON-2017. Computation and Language (cs.CL), arXiv:1803.06745.  

    2017

    1. B. G. Patra, D. Das, and S. Bandyopadhyay. 2017. Retrieving Similar Lyrics for Music Recommendation System. In 14th International Conference on Natural Language Processing (ICON 2017), Jadavpur University, Kolkata, India, pp. 290-297.  
    2. A. Mondal, D. Das , E. Cambria and S. Bandyopadhyay. 2017. Med-ConceptNet: an Affinity score based Medical Concept Network. In the proceedings of 30th International FLAIRS Conference, Florida, USA.
    3. A. Mondal, E. Cambria, D. Das, S. Bandyopadhyay. (2017, November). Employing sentiment-based affinity and gravity scores to identify relations of medical concepts. In Computational Intelligence (SSCI), 2017 IEEE Symposium Series on (pp. 1-7). IEEE.
    4. S. Mahata, D. Das, S. Bandyopadhyay. BUCC2017: A Hybrid Approach for Identifying Parallel Sentences in Comparable Corpora. InProceedings of the 10th Workshop on Building and Using Comparable Corpora 2017 (pp. 56-59). 
    5. S. Sarkar, D. Das, P. Pakray and A. Gelbukh. 2017 "Regression Based Approaches for Detecting and Measuring Textual Similarity". In: Prasath R., Gelbukh A. (eds) Mining Intelligence and Knowledge Exploration. MIKE 2016. Lecture Notes in Computer Science, vol 10089. Springer, Cham.
    6. S. Sarkar, D. Das and P. Pakray. 2017. JU NITM: A classification approach for answer selection in multi-choice question answering system. In Proceedings of the 8th International Joint Conference on Natural Language Processing, Shared Tasks, pages 21--216, Taipei, Taiwan, November 27-December 1, 2017.
    7. A. Mondal, E. Cambria, A. Feraco, D. Das, S. Bandyopadhyay. (2017, November). Auto-categorization of medical concepts and contexts. In Computational Intelligence (SSCI), 2017 IEEE Symposium Series on (pp. 1-7). IEEE.
    8. M. Dey, A. Mondal, D. Das. (2017). JUNLP at IJCNLP-2017 Task 3: A Rank Prediction Model for Review Opinion Diversification. Proceedings of the IJCNLP 2017, Shared Tasks, 138-142.
    9. A. Mondal, D. Das, S. Bandyopadhyay. (2017, December). Relationship Extraction based on Category of Medical Concepts from Lexical Contexts. In the proceedings of 14th International Conference on Natural Language Processing (ICON).
    10. S. Banerjee, P. Pakray, D. Das, R. Manna and A. Gelbukh (2017). NITMZ-JU at IJCNLP-2017 Task 4: Customer Feedback Analysis. In the Proceedings of the 8th International Joint Conference on Natural Language Processing, Shared Tasks, pages 180–183, Taipei, Taiwan, November 27 – December 1, 2017 AFNLP.
    11. S. Dutta and D. Das . 2017. Dialogue Modelling in Multi-party Social Media Conversation. In the proceedings of 20th International Conference on Text, Speech and Dialogue (TSD), LNAI.
    12. A. Paul, D. Das.2017. Identification of Character Adjectives from Mahabharata. In the International Conference on Recent Advances in Natural Language Processing(RANLP 2017), page 569-576, Varna, Bulgeria.
    13. A. Paul, D. Das.2017. A Deep Dive into Identification of Characters from Mahabharata. IN the International Conference on Natural Language Processing(ICON 2017).

    2016

    1. M. Dey, A. Mondal, D. Das. 2016. "NTCIR-12 MOBILECLICK: Sense-based Ranking and Summarization of English Queries." NTCIR. 2016. 
    2. S. Bandyopadhyay, D. Das, E. Cambria, and B. G. Patra. 2016. Proceedings of the 4th Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2016) co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York City, USA, July 10, 2016. CEUR Workshop Proceedings 1619. 
    3. A. Mondal, R. Satapathy, D. Das, S. Bandyopadhyay. 2016. A Hybrid Approach Based Sentiment Extraction from Medical Context. In SAAIP@ IJCAI (Vol. 1619, pp. 35-40). 
    4. A. Mondal, D. Das , E. Cambria, S. Bandyopadhyay. 2016. WME: Sense, Polarity and Affinity based Concept Resource for Medical Events. In the proceedings of 10th Global WordNet Conference (GWC-2016), Mititelu et al.(Eds)., pp. 242-246.
    5. S. Mahata, D. Das, S. Pal. Wmt2016: A hybrid approach to bilingual document alignment. InProceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers 2016 (Vol. 2, pp. 724-727). 
    6. S. Sarkar, D. Das, P. Pakray and A. Gelbukh. 2016 "JUNITMZ at SemEval-2016 Task 1: Identifying Semantic Similarity Using Levenshtein Ratio", at Proceedings of SemEval- 2016, pages 702--705, San Diego, California, June 16-17, 2016. Association for Computational Linguistics.
    7. S. Sarkar, S. Saha, J. Bentham, P. Pakray, D. Das and A. Gelbukh. 2016 "NLP-NITMZ@DPIL-FIRE2016: Language Independent Paraphrases Detection". Working notes of FIRE 2016 - Forum for Information Retrieval Evaluation. Kolkata, India, December 7--10, 2016. CEUR Workshop Proceedings, ISSN 1613-0073, Vol. 1737, CEUR-WS.org, 2016, pp. 256--259.
    8. B. G. Patra, D. Das , S. Bandyopadhyay. 2016. Multimodal Mood Classification - A Case Study of Differences in Hindi and Western Songs. In the proceedings of COLING 2016.
    9. S. Ghosh, D. Das and T. Chakraborty. 2016. Determining sentiment in citation text and analyzing its impact on the proposed ranking index. In the proceedings of 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), LNCS.
    10. B. G. Patra, S. Mazumdar, D. Das , P. Rosso, S. Bandyopadhyay. 2016. A Multilevel Approach to Sentiment Analysis of Figurative Language in Twitter. In the proceedings of 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), LNCS.

    2015

    1. B. G. Patra, N. Ghosh, D. Das and S. Bandyopadhyay. 2014. Identifying Temporal Information and Tracking Sentiment in Cancer Patients Interviews. In the proceedings of 16th International Conference on Intelligent Text Processing and Computational Linguistics, (CICLing- 2015), A. Gelbukh (Ed.), LNCS vol, pp.180-188, Cairo, Egypt.
    2. A. Paul, D. Das. 2015. Identification and Classification of Emotional Key Phrases from Psychological Texts. In the Proceedings of the ACL 2015 Workshop on Novel Computational Approaches to Keyphrase Extraction, pages 32–38, Beijing, China, July 30, 2015. c 2015 Association for Computational Linguistics.
    3. B. G. Patra, D. Das , S. Bandyopadhyay. 2015. Mood Classification of Hindi Songs based on Lyrics. In the Proceedings of 12th International Conference on Natural Language Processing (ICON 2015).
    4. S. Gosh, S. Gosh and D. Das . Query Word Labeling using Conditional Random Field. Working Note, Shared Task on Mixed Script Information Retrieval, FIRE 2015, pp.31-34.
    5. B. G. Patra, D. Das , A. Das, R. Prasath, 2015. Shared Task on Sentiment Analysis in Indian Languages –An Overview. In the Proceedings of third International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2015), R. Prasath (Eds.): LNAI 9468, pp. 650-655.
    6. B. G. Patra, D. Das , S. Bandyopadhyay. 2015. Music Emotion Recognition System. In the proceedings of International Symposium on Frontiers of Research on Speech and Music (FRSM), pp. 114-119, IITKgp.
    7. A. Mondal, D. Das . 2015. A Supervised Framework for Classifying Dependency Relations from Bengali Shallow Parsed Sentences. In the Proceedings of third International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2015), R. Prasath (Eds.): LNAI vol. 9468, pp. 597-606.
    8. A. Mondal, D. Das , E. Cambria, S. Bandyopadhyay. 2015. Lexical Resource for Medical Events: A Polarity Based Approach. 2015 IEEE 15th International Conference on Data Mining Workshops (ICDMW 2015) 14-17 November 2015 in Atlantic City, New Jersey, USA.
    9. B. G. Patra, P. Maitra, D. Das , S. Bandyopadhyay. 2015. Regression based Approach to Music Emotion Task. MediaEval 2015: in conference track of "Emotion in Music".
    10. B. G. Patra, N. Debbarma, A. Abahai T., D. Das and S. Bandyopadhyay. 2015. Named Entity Recognizer for Less Resourced Language Kokborok. 19th International Conference on Asian Language Processing (IALP 2015). pp. 164-168, October 24 - 26, 2015, Suzhou, China.
    11. A. Paul and D. Das . 2015. Identification and Classification of Emotional Key Phrases from Psychological Texts. Workshop on Novel Computational Approaches to Keyphrase Extraction Keyphrase 2015 ACL-IJCNLP 2015, pp. 32-38, Beijing, China.
    12. C. M. Dasari, D. Das and S. Bandyopadhyay. 2015. Emotion Argumentation. 2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS 2015), pp. 331-336, India.
    13. P. Maitra, S. Ghosh and D. Das . 2015. Authorship Verification – An Approach based on Random Forest Based Approach Notebook for PAN at CLEF 2015. In 11th evaluation lab on uncovering plagiarism, authorship, and social software misuse (PAN 2015) with CLEF-2015, vo. 1391, pp. 134.
    14. P. Maitra, S. Ghosh and D. Das . 2015. Authorship Verification – An Approach based on Random Forest Based Approach Notebook for PAN at CLEF 2015. In 11th evaluation lab on uncovering plagiarism, authorship, and social software misuse (PAN 2015) with CLEF-2015, vo. 1391, pp. 134.

    2014

    1. S. Pal, B. G. Patra, D. Das , S. K. Naskar and S. Bandyopadhyay. 2014. How Sentiment Analysis can help in PB-SMT. In 11th International Conference on Natural Language Processing (ICON 2014), Goa, India.
    2. B. G. Patra, N. Mukherjee, A. Das, S. Mondal, D. Das and S. Bandyopadhyay. 2014. Identifying Aspects and Analyzing their Sentiments from Reviews. the proceeding of 13th Mexican International Conference on Artificial Intelligence (MICAI-2014), Tuxtla Gutiérrez, Chiapas, Mexico.
    3. B. G. Patra, S. Mondal, D. Das and S. Bandyopadhyay. 2014. JU_CSE: A Conditional Random Field (CRF) Based approach to Aspect based Sentiment Analysis. In International Workshop on Semantic Evaluation (SemEval-2014) co-located with COLING, August 23-24, Dublin, Ireland.

    2013

    1. S. Poria, A. Gelbukh, D. Das and S. Bandyopadhyay. 2013. Emotion Lexicon Generation: Approximating Fuzzy Clustering for SVM Classification. In the proceeding of 11th Mexican International Conference on Artificial Intelligence (MICAI-2012), Ildar Batyrshin and Miguel González Mendoza (Eds.), Springer, LNAI 7629, pp. 73-86, San Luis Potosi, Mexico, on October 27 - November 4, 2012
    2. A. Brahmachari, P. Singh, A. Garg and D. Das. 2013. . Identifying Psychological Theme Words from Emotion Annotated Interviews. In the Proceedings of First International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2013), R. Prasath and T. Kathirvalavakumar (Eds.): LNAI 8284, pp. 728–739 Springer.
    3. B.G. Patra,D. Das and S. Bandyopadhyay. 2013. Unsupervised Approach to Hindi Music Mood Classification. In the Proceedings of First International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2013), R. Prasath and T. Kathirvalavakumar (Eds.): LNAI 8284, pp. 728–739 Springer.
    4. B. G. Patra, S. Banerjee, D. Das and S. Bandyopadhyay. 2013. Feeling may separate Two Authors: Incorporating Sentiment in Authorship Identification Task. In 10th International Conference on Natural Language Processing (ICON 2013) , December 18th-20th, C-DAC Noida, India.
    5. B. G. Patra, D. Das and S. Bandyopadhyay. 2013. Automatic Music Mood Classification of Hindi Songs. In 3rd Workshop on Sentiment Analysis where AI meets Psychology (SAAIP), International Joint Conference on Natural Language Processing (IJCNLP-2013) , Japan.
    6. B. G. Patra, H. Takamura, D. Das , M. Okumura and S. Bandyopadhyay. 2013. Construction of Emotional Lexicon Using Potts Model. In the Proceedings of the International Joint Conference on Natural Language Processing (IJCNLP 2013) , Japan
    7. B. G. Patra, S. Banerjee, D. Das , T. Saikh and S. Bandyopadhyay. 2013. Automatic Author Profiling Based on Linguistic and Stylistic Features Notebook for PAN at CLEF 2013. In 9th evaluation lab on uncovering plagiarism, authorship, and social software misuse (PAN 2013) with CLEF-2013 . (Accepted)

    2012

    1. D. Das, S. Poria and S. Bandyopadhyay. 2012. A Classifier based approach to Emotion Lexicon Construction. In the proceedings of 17th International conference on Applications of Natural Language Processing to Information Systems (NLDB - 2012), G. Bouma et al. (Eds.), Springer, LNCS vol. 7337, pp. 320–326, 2012, Groningen, The Netherlands.
    2. D. Das, S. Roy and S. Bandyopadhyay. 2012. Emotion Tracking on Blogs - A case study for Bengali. In the Special Session on Sentiment Analysis for Asian Languages (SAAL). The 25th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE), Advanced Research in Applied Artificial Intelligence, H. Jiang et al. (Eds.): IEA/AIE 2012, Springer, LNCS vol. 7345, pp. 447–456, Dalian, China.
    3. A. Kolya, D. Das, A. Ekbal and S. Bandyopadhyay. 2012. Role of Event Actors and Sentiment Holders in Identifying Event-Sentiment Association. In the proceedings of 13th International Conference on Intelligent Text Processing and Computational Linguistics, (CICLing- 2012), A. Gelbukh (Ed.), Springer, LNCS vol.7181, pp.513-525, IIT Delhi, India.
    4. B. G. Patra, K. Debbarma, D. Das and S. Bandyopadhyay. 2012. Part of Speech (POS) Tagger for Kokborok. In the Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012), Dec 8-15, IITB, Mumbai, India. (Accepted)
    5. A. Kundu, D. Das, S. Bandyopadhyay. 2012. Speaker Identification from Film Dialogues. In the Proceedings of the 4th International Conference on Intelligent Human Computer Interaction (IHCI), pp. 479-482, December 27-29, IIT Kharagpur.
    6. B. G. Patra, A. Kundu, D. Das and S. Bandyopadhyay. 2012. Classification of Interviews – A Case Study on Cancer Patients. In the Proceedings of the 2nd Workshop on Sentiment Analysis where AI meets Psychology (SAAIP), held with 24th International Conference on Computational Linguistics (COLING 2012), pp. 27-36, IITB, Mumbai, India.
    7. K. Debbarma, B. G. Patra, D. Das and S. Bandyopadhyay. 2012. Morphological Analyzer for Kokborok. In the Proceedings of the 3rd Workshop on South and Southeast Asian Natural Language Processing (SANLP), held with 24th International Conference on Computational Linguistics (COLING 2012), pp. 41-52, IITB, Mumbai, India.
    8. S. Poria, A. Gelbukh, E. Cambria, D. Das and S. Bandyopadhyay. 2012. Emo-SenticNet: Extending SenticNet with Emotion Labels. In the Proceedings of the Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE), IEEE ICDM,  pp. 709-716.
    9. B. G. Patra, K. Debbarma, S. Debbarma, D. Das, A. Das and S. Bandyopadhyay. 2012. A Light Weight Stemmer in Kokborok. In the proceedings of the 24th Conference on Computational Linguistics and Speech Processing (ROCLING 2012), Taiwan. (Accepted)
    10. D. Das, S. Poria, C.M. Dasari and S. Bandyopadhyay. 2012. Building Resources for Multilingual Affect Analysis – A Case Study on Hindi, Bengali and Telugu. In the 4th International Workshop on Corpora for Research on EMOTION SENTIMENT & SOCIAL SIGNALS (ES³ 2012), Satellite of LREC 2012, ELRA, pp. 54-61, 26 May, Istanbul, Turkey.
    11. C.M. Dasari, D. Das and S. Bandyopadhyay. 2012. Topic Identification from Blog Documents: Roles of Bigram, Named Entity and Sentiment. In the Workshop on Information Access Technologies for Online Reputation Management, LREC 2012, pp. 19-24, Istanbul, Turkey.

    2011

    1. D. Das, A. Kolya, A. Ekbal and S. Bandyopadhyay. 2011. Temporal Analysis of Sentiment Events – A Visual Realization and Tracking. In the proceedings of 12th International Conference on Intelligent Text Processing and Computational Linguistics, (CICLing- 2011), A. Gelbukh (Ed.), Springer, LNCS vol. 6608, pp. 417-428, Tokyo, Japan.
    2. D. Das and S. Bandyopadhyay. 2011. Analyzing Emotional Statements – Roles of General and Physiological Variables. In the Workshop on Sentiment Analysis where AI meets Psychology (SAAIP), 5th International Conference on Natural Language Processing (IJCNLP 2011), pp. 59-67, Chiang Mai, Thailand.
    3. D. Das and S. Bandyopadhyay. 2011. Emotions on Bengali Blog Texts: Role of Holder and Topic. First Workshop on Social Network Analysis in Applications (SNAA 2011), 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011), pp. 587-592, ISBN 978-1-61284-758-0, DOI: 10.1109/ASONAM.2011.106. 
    4. A. Kolya, D. Das, A. Ekbal and S. Bandyopadhyay. 2011. Identifying Event – Sentiment Association using Lexical Equivalence and Co-reference Approaches. In the Workshop on Relational Models of Semantics (RELMS 2011), 49th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 19-27, Portland, USA.
    5. Y. Torii, D. Das, S. Bandyopadhyay and M. Okumura. 2011. Developing Japanese WordNet Affect for Analyzing Emotions. In the Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA 2.011), 49th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 80-86, Portland, USA.
    6. T. Chakraborty, D. Das and S. Bandyopadhyay. 2011. Semantic Clustering: an Attempt to Identify Multiword Expressions in Bengali. In the Workshop on Multiword Expressions: from Parsing and Generation to Real World (MWE 11), 49th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 8-13, Portland, USA
    7. D. Das. 2011. Analysis and Tracking of Emotions in English and Bengali Texts: A Computational Approach. In the proceedings of the Ph. D. Symposium, 20th International World Wide Web Conference (WWW 2011), pp. 343-348, Hyderabad, India.

    2010

    1. S. Banerjee, D.Das and S.Bandyopadhyay. 2010. Classification of Verbs –Towards Developing a Bengali Verb Subcategorization Lexicon. In the proceedings of 5th Global WordNet Conference (GWC-2010), P. Bhattyacharya (Ed.) pp. 76-83, Narosa Publishers, ISBN 978-81-8487-083-1, Mumbai, India.
    2. D.Das and S.Bandyopadhyay. 2010. Sentence to Document Level Emotion Tagging – A Coarse-grained Study on Bengali Blogs. In the proceedings of 2nd Mexican Conference on Pattern Recognition (MCPR-2010), J.A. Carrasco-Ochoa et al. (Eds.), Springer, LNCS vol. 6256, Advances in Pattern Recognition, pp. 332-341, Mexico.
    3. D.Das and S.Bandyopadhyay. 2010. Emotion Holder for Emotional Verbs – The role of Subject and Syntax. In the proceedings of 11th International Conference on Intelligent Text Processing and Computational Linguistics, (CICLing- 2010), A. Gelbukh (Ed.), LNCS Vol. 6008, pp. 385-393, Romania.
    4. D. Das and S. Bandyopadhyay. 2010. Identifying Emotion Holder and Topic from Bengali Emotional Sentences. In the proceedings of the 8th International Conference on Natural Language Processing (ICON 2010), pp. 117-126, IIT Kharagpur, India.
    5. D. Das and S. Bandyopadhyay. 2010. Finding Emotion Holder from Bengali Blog Texts –An Unsupervised Syntactic Approach. Student Session. 24th Pacific Asia Conference on Language, Information and Computation (PACLIC 2010), pp. 621-628, Sendai, Japan.
    6. D. Das and S. Bandyopadhyay. 2010. Identifying Emotional Expressions, Intensities and Sentential Emotion Tags using A Supervised Framework. 24th Pacific Asia Conference on Language, Information and Computation (PACLIC 2010), pp. 95-104, Sendai, Japan.
    7. D. Das and S. Bandyopadhyay. 2010. Extracting Emotion Topics from Blog Sentences – Use of Voting from Multi-Engine Supervised Classifiers. 2nd International Workshop on Search and Mining User-generated Contents (SMUC 2010) of 19th ACM International Conference on Information and Knowledge Management (CIKM 2010), pp. 119-126, doi:10.1145/1871985.1872004, ISBN: 978-1-4503-0386-6, October 30, Toronto, Canada.
    8. P. Pakray, P.Bhaskar, S. Pal, D.Das, S.Bandyopadhyay and A. Gelbukh. 2010. JU_CSE_TE: System Description QA@CLEF 2010 – ResPubliQA. Notebook Paper for the CLEF 2010 LABs Workshop. Multi Lingual Question answering (MLQA 2010)
    9. D. Das and S. Bandyopadhyay. 2010. Discerning Emotions of Bloggers based on Topics – a Supervised Coreference Approach in Bengali. In the proceedings of the 22nd Conference on Computational Linguistics and Speech Processing (ROCLING 2010), pp. 350-360, Puli, Nantou, Taiwan.
    10. D. Das and S. Bandyopadhyay. 2010. Identifying Emotion Topic - An Unsupervised Hybrid Approach with Rhetorical Structure and Heuristic Classifier. In the proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE 2010), doi: 10.1109/NLPKE.2010.5587777, ISBN 978-1-4244-6896-6, INSPEC Accession Number: 11568297, August 21-23, pp. 1-8, Beijing, China.
    11. D. Das, S. Pal, T. Mondal, T. Chakroborty and S. Bandyopadhyay. 2010. Automatic Extraction of Complex Predicates in Bengali. In the Workshop on Multiword Expressions: from theory to Applications (MWE 2010), 23rd International Conference on Computational Linguistics (COLING 2010), pp.36-44, August 28, Beijing, China.
    12. D. Das and S. Bandyopadhyay. 2010. Labeling Emotion in Bengali Blog Corpus – A Fine Grained Tagging at Sentence Level. In the 8th Workshop on Asian Language Resources (ALR8), 23rd International Conference on Computational Linguistics (COLING 2010), pp. 47-55, August 21-22, Beijing, China.
    13. S. Pal, P. Pakray, D. Das and S.Bandyopadhyay.2010. JU. A Supervised Approach to Identify Semantic Relations from Paired Nominals. In the proceedings of the 5th International Workshop on Semantic Evaluation (SEMEVAL-2010), 48th Annual Meeting of the Association for Computational Linguistics (ACL), pp.206-209, Uppsala, Sweden.
    14. S. Pal, T. Mondal, P. Pakray, D. Das and S.Bandyopadhyay. 2010. QGSTEC System Description – JUQGG: A Rule based approach. In the proceedings of 3rd Workshop on Question Generation (QGSTEC-2010), pp. 76-79, Pittsburgh, USA.
    15. D.Das and S.Bandyopadhyay. 2010. Developing Bengali WordNet Affect for Analyzing Emotion. In the proceedings of the 23rd International Conference on the Computer Processing of Oriental Languages (ICCPOL-2010), pp. 35-40, California, USA. 

    2009

    1. D.Das, A.Ekbal, and S.Bandyopadhyay. 2009. Acquiring Verb Subcategorization Frames in Bengali from Corpora. In Proceedings of the 22nd International Conference on the Computer Processing of Oriental Languages (ICCPOL-2009), Language Technology for the Knowledge-based Economy , W. Li and D. Mollá-Aliod (Eds.), LNCS vol. 5459, pp. 386-393, Hong Kong.
    2. D.Das and S. Bandyopadhyay. 2009. Emotion Tagging – A Comparative Study on Bengali and English Blogs. In the proceedings of 7th International Conference on Natural Language Processing, (ICON-2009), pp. 177-184, IIITH, India.
    3. D.Das and S.Bandyopadhyay. 2009. Analyzing Emotion in Blog and News at Word and Sentence Level. In the Workshop of Web 2.0 and Natural Language and Engineering Tasks of the 4th Indian International Conference on Artificial Intelligence (Web 2 NLE, IICAI-2009), pp. 1402-1414, Tumkur, Bangalore.
    4. S. Banerjee, D.Das and S.Bandyopadhyay. 2009. Bengali Verb Subcategorization Frame Acquisition - A Baseline Model. In Proceedings of the 7th Workshop of Asian Language Resources (ALR-7), Joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP-2009), pp. 76-83.  Suntec, Singapore.
    5. D.Das and S.Bandyopadhyay. 2009. Word to Sentence Level Emotion Tagging for Bengali Blogs. In Proceedings of Conference Short Papers, Joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP-2009),  pp.149-152. Suntec, Singapore.
    6. D.Das and S.Bandyopadhyay. 2009. Sentence Level Emotion Tagging. In the proceedings of the 2009 International Conference on Affective Computing & Intelligent Interaction (ACII-2009). DOI:10.1109/ACII.2009.5349598, pp. 375-380, Amsterdam, Netherlands.

Research Interest

Education is the key to unlock the golden door of freedom.

My research interests broadly span three areas and more specifically their intersection: human language, mind/cognition and artificial intelligence. Technically the research area is known as Natural Language Processing (NLP), could be further described as a crossroad of formal Linguistics, machine intelligence and cognitive Science.

I am always working on many things. I am interested in almost every aspects of NLP as listed below:

  • WordNet Affects with different languages such as Bengali, Hindi, Telugu and Japanese on request.

  • "Information Retrival"

  • "Social Networks"

  • "Sentiment Analysis"

  • "Information Extraction"

  • "Ontology Engineering"

  • "Psycho linguistics"

  • "Machine Learning"

  • "Code-Mixing"

  • "Summarization"

  • "Recommendation System"

  • collaboration

    Collaboration is Multiplication.

    My collaborators are listed below:

    Prof. (Dr.) Sivaji Bandyopadhyay (National Institute of Technology, Silchar, India)
    Prof. (Dr.) Alexander Gelbukh (Centro de Investigación en Computación, Instituto Politécnico Nacional)
    Dr. Partha Pakray (National Institute of Technology, Mizoram, India)
    Dr. Erik Cambria (Nanyang Technological University, Singapore)
    Dr. David Pinto (Mexico)
    Dr. Paolo Rosso (Universitat Politècnica de València, Spain)
    Dr. Takamura (Japan)
    Dr. Asif Ekbal (Indian Institute of Technology, Patna, India)
    Dr. Amitava Das (Indian Institute of Information Technology, Sri City, Chittoor, India)
    Dr. Tanmoy Chakraborty (Indraprastha Institute of Information Technology, Delhi, India)

    Get in touch

    Feel free to contact me if you have something to say!

    Contact Info