Open AccessDETECTION AND CLASSIFICATION OF HATE SPEECH
Publication year - 2021
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2021.v05i11.032
Subject(s) - social media , creed , computer science , nationality , caste , the internet , classifier (uml) , internet privacy , artificial intelligence , world wide web , linguistics , immigration , political science , philosophy , law
The challenges that are to be faced whilehandling with hate speech is not a new thing. From thepastfew years due to the boosted usage of internet, hatefulactivities across social media is increasing rapidly.Improved technology has made it possible to create aplatform where people can feel free to share their opinionsand experiences.it wouldn't be a problem if this is just thecase. but we can also see hateful comments runningthroughout the social media targeting a person or acommunity. Hate speech is the statement that targets aperson or community of people discriminating based oncaste, creed, nationality etc.Our project aims at resolving the above problem by usingMachine Learning techniques to automatically detect hatespeech and classify them into various classes such asextremely positive, positive neutral etc. We have usedclassifier that works based on the lexicons and finallycompare it with other classifiers that doesn't use lexicons.Aimed beneficiaries of this model are the people who arebeing targeted on social media. Based on the results theycan calculate intensity of the comments.