Digos City Sentiment Analyzer Using Lexicon Based Approach

Abstract

Customers ' opinions and reviews on hotels on the web are important sources of information in travel planning. Sentiment analysis or opinion mining is an important type of text analysis that supports decision-making by extracting and analyzing opinion-oriented text. It identifies positive and negative opinions. In this study, we present a Sentiment Analyzer using Lexicon Based Approach that collects such comments from the web, creates classified and structured overviews of such comments, and facilitates access to that information. It aims to create an efficient and reliable interactive website to present the overall polarity of review sites, identify the total reviews by classifying their polarities, and finally create a module that generates a graph from the classified polarity on each hotel. Lastly, the project proves itself effective. It presents a concise sentiment profile of any hotel at any particular location, and hotels in this system can also be conveniently compared.