Performance Improvement using Fuzzy String Matching Based Features for Sentiment Analysis on Social Media Data
This paper presents Nested Social Sentiments Classification (NeSS-Class), a sentiment analysis framework that incorporates both primary posts and their nested comments from social media platforms. Unlike traditional approaches, NeSS-Class introduces derived features based on fuzzy string matching to capture subtle text...