Now showing items 1-5 of 5
Introduction to machine learning
The machine learning field, which can be briefly defined as enabling computers make successful predictions using past experiences, has exhibited an impressive development recently with the help of the rapid increase in the ...
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 ...
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. ...
Machine learning based learner modeling for adaptive web-based learning
Especially in the first decade of this century, learner adapted interaction and learner modeling are becoming more important in the area of web-based learning systems. The complicated nature of the problem is a serious ...