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Browsing by Author "Akhtar, Md.S."

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IITP at EmoInt-2017: Measuring intensity of emotions using sentence embeddings and optimized features

Akhtar, Md.S.; Sawant, P.; Ekbal, A.; Pawar, J.D.; Bhattacharyya, P. (Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Copenhagen, Denmark. 7–11 Sep 2017. 2017; 212-218.)

This paper describes the system that we submitted as part of our participation in the shared task on Emotion Intensity (EmoInt-2017). We propose a Long short term memory (LSTM) based architecture cascaded with Support ...
Improving word embedding coverage in less-resourced languages through multi-linguality and cross-linguality: A case study with aspect-based sentiment analysis

Akhtar, Md.S.; Sawant, P.; Sen, S.; Ekbal, A.; Bhattacharyya, P. (ACM Transactions on Asian and Low-Resource Language Information Processing. 18(2); 2019; ArticleID_3273931.)

In the era of deep learning-based systems, efficient input representation is one of the primary requisites in solving various problems related to Natural Language Processing (NLP), data mining, text mining, and the like. ...
Solving data sparsity for aspect based sentiment analysis using cross-linguality and multi-linguality

Akhtar, Md.S.; Sawant, P.; Sen, S.; Ekbal, A.; Bhattacharyya, P. (16. Annual Conf. North American Chapter of the Association for Computational Linguistics: Human Language Technologies, New Orleans, Louisiana, 1-6 Jun 2018.. 1; 2018; 572-582.)

Efficient word representations play an important role in solving various problems related to Natural Language Processing (NLP), data mining, text mining etc. The issue of data sparsity poses a great challenge in creating ...

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