Now showing items 1-6 of 6
Ontology supported policy modeling in opinion mining process
In e-Society the spreading services offered by Social Web has changed the way of communication and cooperation among citizens, policy-makers, governance bodies and civil society actors. One of the main goals of policymakers ...
Performance comparison of combined collaborative filtering algorithms for recommender systems
Recommender systems have a goal to make personalized recommendations by using filtering algorithms. Collaborative filtering (CF) is one of the most popular techniques for recommender systems. As usual, huge number of the ...
New features for sentiment analysis: Do sentences matter?
(CEUR Workshop Proceedings, 2012)
In this work, we propose and evaluate new features to be used in a word polarity based approach to sentiment classification. In particular, we analyze sentences as the first step before estimating the overall review polarity. ...
Learning domain-specific polarity lexicons
Sentiment analysis aims to automatically estimate the sentiment in a given text as positive or negative. Polarity lexicons, often used in sentiment analysis, indicate how positive or negative each term in the lexicon is. ...
Adaptation and use of subjectivity lexicons for domain dependent sentiment classification
Sentiment analysis refers to the automatic extraction of sentiments from a natural language text. We study the effect of subjectivity-based features on sentiment classification on two lexicons and also propose new ...
An aspect-lexicon creation and evaluation tool for sentiment analysis researchers
In this demo paper, we present SARE, a modular and extendable semi-automatic system that 1) assists researchers in building gold-standard lexicons and evaluating their lexicon extraction algorithms; and 2) provides a general ...