Knowledge Based Sentimental Analysis and Deep Learning

Authors

  • Sheena Popli Computer Science And Engineering, SGBAU,
  • Dinesh Harkut Computer Science And Engineering, SGBAU,

Keywords:

Sentiment Analysis, deep learning, online social networking, recommendation system, recurrent neural network .

Abstract

Popularity of Online Social Networking sites is increasing day by day. It allows users to connect with each other and share their views and opinions. Today, Online Social Networking (OSN) has become a universal platform where users can openly share their feelings and expressions with each other. Usually, users express their sentiments and emotions through the messages they post on OSN. Some messages indicate that the person is happy and some indicates that the person is sad according to the words present in the sentence. It has become important to detect users with psychological disturbances such as stress and depression and send them calm, motivating messages in order to improve their emotional state. This can be done with the help of sentiment analysis and deep learning.

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Published

2019-06-01

How to Cite

Popli, S. ., & Harkut, D. . (2019). Knowledge Based Sentimental Analysis and Deep Learning. International Journal of Technical Innovation in Modern Engineering & Science, 5(6), 669–672. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/2121