Akshat Bakliwal


2013

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Sentiment Analysis of Political Tweets: Towards an Accurate Classifier
Akshat Bakliwal | Jennifer Foster | Jennifer van der Puil | Ron O’Brien | Lamia Tounsi | Mark Hughes
Proceedings of the Workshop on Language Analysis in Social Media

2012

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Mining Sentiments from Tweets
Akshat Bakliwal | Piyush Arora | Senthil Madhappan | Nikhil Kapre | Mukesh Singh | Vasudeva Varma
Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis

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Entity Centric Opinion Mining from Blogs
Akshat Bakliwal | Piyush Arora | Vasudeva Varma
Proceedings of the 2nd Workshop on Sentiment Analysis where AI meets Psychology

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Hindi Subjective Lexicon: A Lexical Resource for Hindi Adjective Polarity Classification
Akshat Bakliwal | Piyush Arora | Vasudeva Varma
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

With recent developments in web technologies, percentage web content in Hindi is growing up at a lighting speed. This information can prove to be very useful for researchers, governments and organization to learn what's on public mind, to make sound decisions. In this paper, we present a graph based wordnet expansion method to generate a full (adjective and adverb) subjective lexicon. We used synonym and antonym relations to expand the initial seed lexicon. We show three different evaluation strategies to validate the lexicon. We achieve 70.4% agreement with human annotators and ∼79% accuracy on product review classification. Main contribution of our work 1) Developing a lexicon of adjectives and adverbs with polarity scores using Hindi Wordnet. 2) Developing an annotated corpora of Hindi Product Reviews.

2011

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Towards Enhanced Opinion Classification using NLP Techniques.
Akshat Bakliwal | Piyush Arora | Ankit Patil | Vasudeva Varma
Proceedings of the Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2011)