A Vocabulary-Based Framework for Sentiment Analysis

Abstract

The variety of knowledge analysis that is earned from the news reports, user reviews and social media updates or a small blogging website is named opinion mining. Its associated approaches are employed to analyse the sentiments provided as input file. The reviews of people towards events, brands, product, or company are often legendary part of sentiment analysis. The responses of general public are collected and measured temporarily by researchers to perform evaluations. The recognition of sentiment analysis is growing these days since the numbers of views being shared by folks on the small blogging sites are increasing. All the emotions are often categorized into three totally different classes referred to as positive, negative and neutral. We have used lexicon-based approach to determine the scores of sentiment sentences. Python language is employed during this analysis to implement the classification algorithmic programme on the collected knowledge.