Sentiment Analysis Tool in Website Comments

Abstract

Understanding the profile and analysis of individuals’ consumption behavior in order to identify opinions about products and services available on websites has been an increasingly necessary research area. The Behavioral Perspective Model (BPM) provides conditions to conduct consumer behavior analysis by investigating antecedent variables (consumer behavior profile and learning history) and consequences (reinforcements and punishments, utilitarian and informational). This article presents the development stages of the SentimentALL tool, which aims to extract and prospect user comments from an online traveler service booking platform. The system is based on the sentiment analysis algorithm (user opinion) to quantify “positive feelings” and “negative feelings” in relation to the restaurants and entertainment attractions of the places visited and the accommodations used by users on their travels.