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Innovations and Interdisciplinary Solutions for Underserved Areas. 5th EAI International Conference, InterSol 2022, Abuja, Nigeria, March 23-24, 2022, Proceedings

Research Article

Comparative Evaluation on Sentiment Analysis Algorithms

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BibTeX Plain Text
  • @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
Aman Kumar1,*, Manish Khare1, Saurabh Tiwari1
  • 1: Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT)
*Contact email: 201911018@daiict.ac.in

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.

Keywords
Sentiment analysis Natural language processing Machine learning Deep learning Comparison
Published
2023-02-01
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-23116-2_9
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