Open AccessSarcastic Sentiment Detection with Fuzzy Logic
Author(s) -
Vijaykumar Bidve,
Kalyani Pathak,
Kruttika Bhagwat,
Karishma Suryawanshi
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.e9911.069520
Subject(s) - sentiment analysis , fuzzy logic , computer science , artificial intelligence , natural language processing , context (archaeology) , outcome (game theory) , machine learning , mathematics , biology , mathematical economics , paleontology
In the context of text classification of sentiment detection to great, instances are naturally fuzzy and therefore to get clear-cut outcome by extracting the opinion in a new innovative way i.e. In a fuzzy combination way and assign a relevant sentiment, usually either positive or negative. Due to this new approach it will be possible to have advancement for extracting the opinions of people more deeply even if instance in a sentences are manipulated more complexly.