%0 Journal Article
%T Building Machine Learning Based Senti-word Lexicon for Sentiment Analysis
%A Alaa Hamouda
%A Mahmoud Marei
%A Mohamed Rohaim
%J Journal of Advances in Information Technology
%D 2011
%I Academy Publisher
%R 10.4304/jait.2.4.199-203
%X Sentiment analysis involves classifying opinions in text into categories like "positive" or "negative". One of approaches used to make sentiment classification is using sentiment lexicon. This paper aims to build a sentiment lexicon which is domain independent. We propose a Machine Learning Based Senti-word Lexicon (MLBSL) based on the Amazon data set which contains reviews from different domains. Our proposed MLBSL yields an improvement over previous published manual and automatic-built lexicons like SentiWordNet. We also provide an improvement in calculation method used in reviews sentiment analysis.
%K Sentiment Analysis
%K Sentiment Lexicon
%K Machine Learning
%U http://ojs.academypublisher.com/index.php/jait/article/view/5929