Sentimental Analysis on Social Media

Authors: Nitin A. Tambe, Onkar G. Satpute, Gauri V. Wakchaure, Sakshi S. Patole, S.M. Rokade

Country: India

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Abstract: Aspect Based Sentiment Analysis (ABSA) means to recognize perspectives and feeling polarities towards a given viewpoint in audits. Contrasted and general opinion investigation, ABSA can give more point by point and complete data. As of late, ABSA has turned into a significant errand for normal language understanding and has drawn in extensive consideration from both scholarly and industry fields. The opinion extremity of a sentence isn't just settled by its substance yet in addition has a moderately critical connection with the designated angle. Hence, we propose a model for angle based opinion examination which is a blend of Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU), using the neighborhood highlights produced by CNN and the drawn out reliance learned by GRU. Broad investigations have been directed on datasets of inns and vehicles, and results show that the proposed model accomplishes great execution as far as viewpoint extraction and feeling order. Tests additionally show the incredible space extension ability of the model.

Keywords: Aspect-based Sentiment Analysis, Gated Recurrent Unit

Paper Id: 230391

Published On: 2023-11-21

Published In: Volume 11, Issue 6, November-December 2023

Cite This: Sentimental Analysis on Social Media - Nitin A. Tambe, Onkar G. Satpute, Gauri V. Wakchaure, Sakshi S. Patole, S.M. Rokade - IJIRMPS Volume 11, Issue 6, November-December 2023.

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