Ameya Prabhu

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In this paper we describe an end to end Neural Model for Named Entity Recognition (NER) which is based on Bi-Directional RNN-LSTM's. Almost all NER systems for Hindi use Language Specific features and handcrafted rules with gazetteers. Our model is language independent and uses no domain specific features or any handcrafted rules. Our models rely on(More)
Sentiment analysis (SA) using code-mixed data from social media has several applications in opinion mining ranging from customer satisfaction to social campaign analysis in multilingual societies. Advances in this area are impeded by the lack of a suitable annotated dataset. We introduce a Hindi-English (Hi-En) code-mixed dataset for sentiment analysis and(More)
Acknowledgments Foremost, I would like to express my sincere gratitude to my advisor, Dr. Jacob A. Abraham for the continuous support of my Ph.D study and research, for his patience, motivation, enthusiasm and immense knowledge. It would not been possible to write this doctoral dissertation without the help and support from him. Besides my advisor, I also(More)
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