مدرس مساعد فاطمه حسن فاضل عباس
MSc
-
assistant lecturer
College of Science
,
Department of Computer
[email protected]
Publication Date
Thu Jun 30 2022
A Comparative Study for Supervised Learning Algorithms to Analyze Sentiment Tweets
Twitter popularity has increasingly grown in the last few years, influencing life’s social, political, and business aspects. People would leave their tweets on social media about an event, and simultaneously inquire to see other people's experiences and whether they had a positive/negative opinion about that event. Sentiment Analysis can be used to obtain this categorization. Product reviews, events, and other topics from all users that comprise unstructured text comments are gathered and categorized as good, harmful, or neutral using sentiment analysis. Such issues are called polarity classifications. This study aims to use Twitter data about OK cuisine reviews obtained from the Amazon website and compare the effectiveness
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