157 citations · 618 across the 30 of their papers we have counts for
6 papers · 1 filter
Product Insights: Analyzing Product Intents in Web Search
Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee +1
Web search engines are frequently used to access information about products. This has increased in recent times with the rising popularity of e-commerce. However, there is limited…
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference
Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard +2
In this paper, we consider advancing web-scale knowledge extraction and alignment by integrating OpenIE extractions in the form of (subject, predicate, object) triples with Knowled…
TwiSent: A Multistage System for Analyzing Sentiment in Twitter
Subhabrata Mukherjee, Akshat Malu, A. R. Balamurali +1
In this paper, we present TwiSent, a sentiment analysis system for Twitter. Based on the topic searched, TwiSent collects tweets pertaining to it and categorizes them into the diff…
WikiSent : Weakly Supervised Sentiment Analysis Through Extractive Summarization With Wikipedia
Subhabrata Mukherjee, Pushpak Bhattacharyya
This paper describes a weakly supervised system for sentiment analysis in the movie review domain. The objective is to classify a movie review into a polarity class, positive or ne…
Feature Specific Sentiment Analysis for Product Reviews
Subhabrata Mukherjee, Pushpak Bhattacharyya
In this paper, we present a novel approach to identify feature specific expressions of opinion in product reviews with different features and mixed emotions. The objective is reali…
Leveraging Sentiment to Compute Word Similarity
A. R. Balamurali, Subhabrata Mukherjee, Akshat Malu +1
In this paper, we introduce a new WordNet based similarity metric, SenSim, which incorporates sentiment content (i.e., degree of positive or negative sentiment) of the words being…