Sentiment Analysis using RNN
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Information Technology | India | Volume 13 Issue 8, August 2024 | Popularity: 5.8 / 10


     

Sentiment Analysis using RNN

Yashas Hirethota, Shreesha Hk, Sharanbasappa Jb, Dr. Radhika K R


Abstract: Sentiment analysis is a critical component of natural language comprehension with numerous real-world applications. Typical sentiment analysis attempts to predict whether a text is positive or negative. The given text has only one aspect and polarity, so this task works. Predicting the elements mentioned in a phrase, as well as the emotions connected with each of them, is a more generic and difficult assignment. Aspect-based sentiment analysis is a generic term for this activity.


Keywords: RNN, Word2Vec, Sentiment Analysis, Data Pre-processing, LSTM, Layers, Test, Train, Score


Edition: Volume 13 Issue 8, August 2024


Pages: 29 - 33


DOI: https://www.doi.org/10.21275/SR24727144902


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Yashas Hirethota, Shreesha Hk, Sharanbasappa Jb, Dr. Radhika K R, "Sentiment Analysis using RNN", International Journal of Science and Research (IJSR), Volume 13 Issue 8, August 2024, pp. 29-33, https://www.ijsr.net/getabstract.php?paperid=SR24727144902, DOI: https://www.doi.org/10.21275/SR24727144902

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