December 30, 2024Vidhyayana

Understanding Sentiment: Interpreting Attitudes, Emotions, and Opinions in Text

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Sentiment analysis system evaluates customer opinions in tweets, suggesting its importance for marketplace success.

The system classifies customer perspectives as positive or negative, highlighting its accuracy in sentiment analysis.
Utilizing a machine-learning approach, the program enhances the understanding of customer opinions on social media platforms like Twitter.
Developed using prototyping methods, this sentiment analysis system processes a substantial quantity of tweets for evaluation.
The findings indicate that effectively analyzing sentiments can significantly influence marketplace success and customer engagement.

Advin Manhar (2024) studied this question.

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