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

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