Efficient social media sentiment analysis using confidence interval-based classification of online product brands
Tawfik Guesmi,
Fawaz Al-Janfawi,
Ramzi Guesmi
et al.
Abstract:This paper presents an efficient method for categorizing the sentiments of Internet users, with a focus on social media users, using a confidence interval to estimate the reliability of sentiment predictions. The classification is based on the sentiments expressed in their posts, which are divided into positive, negative, and neutral categories. The paper presents an analysis table that analyzes sentiments and opinions about online product brands. The process includes two steps: 1) analyzing sentiments from te… Show more
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