Publication Date: 2023/11/23
Abstract: The research paper investigates the effectiveness of machine learning methods in predicting human emotions from text data through sentiment analysis. It reviews existing literature, explores diverse datasets, and applies various machine learning models to predict emotions accurately. Results demonstrate the success of these models, highlighting their real-world applications in marketing, mental health analysis, and user experience enhancement. The study concludes by outlining future research directions for improved emotion prediction using sentiment analysis, contributing to the advancement of understanding and utilizing emotional states derived from text.
Keywords: Sentiment Analysis, Polarity, Bag of words, SentiWordNet.
DOI: https://doi.org/10.5281/zenodo.10200419
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23NOV980.pdf
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