Abstract:
Sentiment Analysis is one of the major NLP tasks, which mainly focuses on finding polarity(sentiment) and intention for a given piece of textual data. The data can range ...Show MoreMetadata
Abstract:
Sentiment Analysis is one of the major NLP tasks, which mainly focuses on finding polarity(sentiment) and intention for a given piece of textual data. The data can range from a sentence level to a document level. When we communicate as human to human, it is much more easier to interpret our emotions. But when it comes to machines, it becomes difficult to identify the sentiments. Sentiment Analysis makes use of techniques like Text Analytics and other NLP methods. Movie reviews play a significant role in telling whether it's a success or failure. These reviews will have a great influence on larger set of viewers. So, its important to build a good model which classifies movie reviews accurately. In this paper, we have adopted six machine learning models to classify movie reviews and a comparative study is made among them which helps to decide the best classifier based on several evaluation metrics.
Published in: 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS)
Date of Conference: 17-18 March 2023
Date Added to IEEE Xplore: 05 May 2023
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Cites in Papers - IEEE (4)
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1.
Shardha Purohit, Aarfa Rajput, Satvik Vats, Rusha Mudgal, Owais Ahmad Shah, Aditya Verma, "Comparative Analysis of LSTM and Random Forest Algorithms for Sentiment Classification in Movie Reviews", 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), pp.1053-1057, 2024.
2.
Kazi Nubila Nushin, Md. Shahid Uz Zaman, Mohiuddin Ahmed, "Analyzing Sentiment and Unveiling Geopolitical Perspectives: A Comprehensive Study of Reddit Comments on the Contemporary Israel-Palestine Conflict", 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), pp.788-793, 2024.
3.
Kottala Sri Yogi, V Dankan Gowda, D Sindhu, Hariprasad Soni, Saptarshi Mukherjee, G.C Madhu, "Enhancing Accuracy in Social Media Sentiment Analysis through Comparative Studies using Machine Learning Techniques", 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS), vol.1, pp.1-6, 2024.
4.
Kottala Sri Yogi, Dankan Gowda V, Mouna K M, L.R. Sujithra, KDV Prasad, P Midhun, "Scalability and Performance Evaluation of Machine Learning Techniques in High-Volume Social Media Data Analysis", 2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), pp.1-6, 2024.
