Sentiment Analysis based on Specific Dictionary and Sentence Analysis

Objective or negative. In this work, we apply a simple method to adapt a general purpose polarity lexicon to a specific domain. We propose and evaluate new features to be used in a word polarity based approach to sentiment classification. We consider different aspects of sentences, such as length, purity and position within the opinionated text. This analysis is then used to find sentences that may convey better information about the overall review polarity. We use a subset of hotel reviews from the TripAdvisor database to evaluate the effect of sentence-level features on sentiment classification. Then, we measure the performance of our sentiment analysis engine using the domainadapted lexicon on a large subset of the TripAdvisor database.