Real-time Sentiment Analysis on Social Networks using Meta-model and Machine Learning Techniques
Xiao ShiXiao,
Mustafa Muwafak Alobaedy,
S. B. Goyal
et al.
Abstract:Sentiment analysis is a critical task in social media analysis, enabling the understanding of user attitudes and opinions towards various topics. This paper proposes a real- time sentiment analysis system for social networks that utilizes a meta-model and machine learning techniques to accurately classify user sentiment. The proposed system integrates textual and visual data from social media posts to improve sentiment classification accuracy. The methodology includes data collection and preprocessing, feature… Show more
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