Opinion Mining in Tamil Tweets using Dense Neural Network (DNN) Architecture

  • Dr. S. Gokila, Dr. S. Rajeswari
Keywords: Dense Neural Network, Natural Language Processing, Tweet, Tamil

Abstract

Tamil is one of the Indian languages which still requires the state of the art model for Opining mining or Sentiment Analysis(SA). It aims to extract the opinions from tweets, reviews and comments for development of NLP(Natural Language Processing) in Tamil Language. Therefore, this article proposed a Neural Network model to analyze the Tamil tweets into two polarities as Positive and Negative. The work comprises different phases such as its own Tamil corpus creation with 1015 Tamil tweets, Word Vectorization and Classification. A Deep learning based Dense Neural Network (DNN) architecture was trained with word vectors for finding the positive and negative comments. The proposed model works well in the manually annotated corpus without removing the stop words and sentimental symbols like emojis’. It is observed that the proposed model gives better accuracy of 86% when compared with the Machine Learning algorithm.      

Published
2021-09-04
How to Cite
Dr. S. Gokila, Dr. S. Rajeswari. (2021). Opinion Mining in Tamil Tweets using Dense Neural Network (DNN) Architecture. Design Engineering, 5706- 5713. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/4009
Section
Articles