TOXIC COMMENT CLASSIFICATION SYSTEM USING DEEP LEARNING
Chaitanya Sonawane, Tejaswini Bagale, Preeti Kawade, Swarada Ogale, Prof. Megha C Singru · IJARCCE · 2024
Every day, a significant volume of textual content is shared online.Sorting through such vast amounts of textual material to find the relevant and irrelevant information is challenging.One area of natural language processing that enables the examination of textual data is sentiment analysis.Since it examines the words and presents the public's overall viewpoint, it is regarded as an opinion mining technique [1].Sentiment analysis is a domain with three subbranches: aspect-based, sentence-based, and document-based [2].Sentences are used to find opinions in sentence-based sentiment analysis.Sentiment analysis of complicated texts is a challenging task.When conducting sentiment analysis on documents, the entire textual Social media provides a forum for public sharing.theiropinions and concepts.The most widely used social media sites are Facebook, Twitter, and YouTube, where usersrespond by leaving comments and like the page.Sentiment analysis is a widely utilised tool for analysis these days.