Sentiment Analysis CSAM Model to Discover Pertinent Conversations in Twitter Microblogs

• Published in: International journal of computer network and information security Vol. 14; no. 5; pp. 28 - 46
• Main Authors: Fadhli, Imen, Hlaoua, Lobna, Nazih Omri, Mohamed
• Format: Journal Article
• Language: English
• Published: Hong Kong Modern Education and Computer Science Press 01.10.2022
• Subjects: Conditional probability; Data mining; Datasets; Emotional icons; False information; Feasibility studies; Microblogs; Sentiment analysis; Social networks

In recent years, the most exploited sources of information such as Facebook, Instagram, LinkedIn and Twitter have been considered to be the main sources of misinformation. The presence of false information in these social networks has a very negative impact on the opinions and the way of thinking of...