Research Article
Comparative Evaluation on Sentiment Analysis Algorithms
@INPROCEEDINGS{10.1007/978-3-031-23116-2_9, author={Aman Kumar and Manish Khare and Saurabh Tiwari}, title={Comparative Evaluation on Sentiment Analysis Algorithms}, proceedings={Innovations and Interdisciplinary Solutions for Underserved Areas. 5th EAI International Conference, InterSol 2022, Abuja, Nigeria, March 23-24, 2022, Proceedings}, proceedings_a={INTERSOL}, year={2023}, month={2}, keywords={Sentiment analysis Natural language processing Machine learning Deep learning Comparison}, doi={10.1007/978-3-031-23116-2_9} }- Aman Kumar
Manish Khare
Saurabh Tiwari
Year: 2023
Comparative Evaluation on Sentiment Analysis Algorithms
INTERSOL
Springer
DOI: 10.1007/978-3-031-23116-2_9
Abstract
Classifying texts based on sentiments present in the text is called Sentiment Analysis. There are many Sentiment Analysis Techniques available. In this paper, we have addressed the problem of sentiment analysis and compared many different machine learning and deep learning algorithms to perform sentiment analysis based on their accuracy. We extracted useful features to feed them in our classifier to generate results. Also, we have used the majority vote ensemble method to achieve more accurate results.
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