FEEDBACK ANALYSIS BASED ON SENTIMENT REVIEW ANALYSIS ON NATIVELANGUAGE(TELUGU)

  • DINAH PUNNOOSE, S.SIVASANKARI, KOLASANI LIKHITH KRISHNA, GANESH CHANDRA, AKHIL RAYAPATI

Abstract

In modern times, analyzing of feedback in the native and regional language has become an emerging trend for the development and expansion of the business in the regional market. Most of the research persons has shown a very keen interest in the development of the model that analyses the sentiment for the native regional languages of the South part of India. A keen and clear work has been done till date to gather and collect the data sets for the processing of the model. In this paper we have proposed a single schema sentimental analysis for the analysis of feedback of the comments in the social media and various online sales platform. In the initial stages of the execution the identified feedback will be subjected to classification, where the sentences are classified in to positive, negative and neutral based on the trained model. With the existing testing data set our proposed attained an accuracy of 80%.

Keywords— Natural Langaugae Processing , Sentiment Analysis , Telugu Language , News Sentence , Feedback .

Published
2020-06-06
How to Cite
DINAH PUNNOOSE, S.SIVASANKARI, KOLASANI LIKHITH KRISHNA, GANESH CHANDRA, AKHIL RAYAPATI. (2020). FEEDBACK ANALYSIS BASED ON SENTIMENT REVIEW ANALYSIS ON NATIVELANGUAGE(TELUGU). International Journal of Advanced Science and Technology, 29(05), 11589-11596. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/25352
Issue
Vol. 29 No. 05 (2020): Vol. 29 No. 05 (2020)
Section
Articles