I am interested in problems like Sentiment and Emotion Analysis, Stylistic Analysis of Text, Automated Text Generation and Information Retrieval.

Publications

Samghabadi, Niloofar Safi; Mave, Deepthi; Kar, Sudipta; Solorio, Thamar

RiTUAL-UH at TRAC 2018 Shared Task: Aggression Identification Conference

Proceedings of the First Workshop on Trolling, Aggression and Cyberbulling (TRAC), 2018.

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Kar, Sudipta; Maharjan, Suraj; Solorio, Thamar

Folksonomication: Predicting Tags for Movies from Plot Synopses using Emotion Flow encoded Neural Network Conference

Proceedings of the 27th International Conference on Computational Linguistics, 2018.

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Maharjan, Suraj; Kar, Sudipta; Montes-y-Gómez, Manuel; González, Fabio A; Solorio, Thamar

Letting emotions flow: Success prediction by modeling the flow of emotions in books Conference

In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, Louisiana, June 2018, 2018.

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Kar, Sudipta; Maharjan, Suraj; López-Monroy, Pastor A; Solorio, Thamar

MPST: A Corpus of Movie Plot Synopses with Tags Conference

Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), European Language Resources Association (ELRA), 2018.

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Payne, Holly Lynn; Bregman, Mark Fielding; Vargas, Bogart; Solorio, Thamar; Maharjan, Suraj; Kar, Sudipta

Book Analysis and Recommendation Patent

15782367, 2018.

BibTeX

Kar, Sudipta; Maharjan, Suraj; Solorio, Thamar

RiTUAL-UH at SemEval-2017 Task 5: Sentiment Analysis on Financial Data Using Neural Networks Inproceedings

Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), 2017, (Ranked 2nd for Subtask 2. With alternate scoring, ranked 1st in both subtask.).

Abstract | Links | BibTeX

Franco-Salvador, Marc; Kar, Sudipta; Solorio, Thamar; Rosso, Paolo

UH-PRHLT at SemEval-2016 Task 3: Combining Lexical and Semantic-based Features for Community Question Answering Inproceedings

Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pp. 814–821, Association for Computational Linguistics, San Diego, California, 2016, (Ranked 1st at Subtask B (Question Similarity).).

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