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Chapter and Conference Paper
Matching, Re-Ranking and Scoring: Learning Textual Similarity by Incorporating Dependency Graph Alignment and Coverage Features
In this work, we introduce a supervised model for learning textual similarity, which can identify and score similarity between a set of candidate texts and a given query text. By combining dependency graph sim...
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Chapter and Conference Paper
Feature Selection Using Multi-objective Optimization for Aspect Based Sentiment Analysis
In this paper, we propose a system for aspect-based sentiment analysis (ABSA) by incorporating the concepts of multi-objective optimization (MOO), distributional thesaurus (DT) and unsupervised lexical inducti...
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Chapter and Conference Paper
IIT-TUDA: System for Sentiment Analysis in Indian Languages Using Lexical Acquisition
Social networking platforms such as Facebook and Twitter have become a very popular communication tools among online users to share and express opinions and sentiment about the surrounding world. The availabil...