Rate the Article: Sentiment Analysis using RNN, IJSR, Call for Papers, Online Journal
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

Downloads: 17 | Views: 280 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper | Information Technology | India | Volume 13 Issue 8, August 2024 | Rating: 5.6 / 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



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