Neural Network-Based Architecture for Sentiment Analysis in Indian Languages

Neural Network-Based Architecture for Sentiment Analysis in Indian Languages

Sentiment analysis refers to determining the polarity of the opinions represented by text. The paper proposes an approach to determine the sentiments of tweets in one of the Indian languages (Hindi, Bengali, and Tamil). Thirty-nine sequential models have been created using three different neural net...

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Bibliographic Details
Main Authors: Bhargava Rupal, Arora Shivangi, Sharma Yashvardhan
Format: Article
Language:English
Published: De Gruyter 2019-07-01
Series:Journal of Intelligent Systems
Subjects:
sentiment analysis
deep learning
indian languages
convolutional neural network (cnn)
recurrent neural network (rnn)
long short-term memory (lstm)
Online Access:https://doi.org/10.1515/jisys-2017-0398

Internet

https://doi.org/10.1515/jisys-2017-0398

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