Open AccessSentimental Analysis based on Text and Emoticons
Author(s) -
Apurba Sastry,
K. Veera Venkata Anudeep,
T. Phanindra Sai,
T.S.N. Dheeraj
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f3677.059720
Subject(s) - casual , feeling , slang , variety (cybernetics) , computer science , identification (biology) , psychology , sentiment analysis , linguistics , social psychology , natural language processing , artificial intelligence , philosophy , materials science , botany , composite material , biology
Long range informal communication has bit by bit become an everyday practice for individuals to post their feelings, perspectives and remarks on any item or individual. Individuals share their sentiments online in an exceptionally casual language. Along these lines, it is exceptionally troublesome errand to break down precise slants connected with that common language. Estimation Analysis is an investigation of individuals' mentality, assessments, and feelings to arrange whether it is certain, negative or impartial. Utilization of emojis via web-based networking media has expanded quickly as of late. Subsequently, we have concentrated more on how emojis assume a significant job in opinion examination. Different elements that influence supposition examination are talked about quickly in this paper. Likewise, different issues like mockery identification, multilingualism, taking care of abbreviations and slang language, lexical variety and dynamic word reference dealing with are talked about. A few examinations were then performed to break down the impact of emojis on tweets utilizing AI strategies. At long last, the general execution investigation of the classifier was figured utilizing the NLTK stemming system.