• Mr. GAJENDRA P.
• Dr.B.K.Ravindranath

This paper mainly focuses on the idea of Sentiment Analysis in Kannada. As the term ‘Sentiment’ suggests, it may be a joy, sadness, frustration, angry, unhappy, lamentation, if it is said in totality human feelings or emotions. As we know that man is a social animal. He/ She comes with the relationships and goes with the relationships from the day one to day last. Human cannot live alone and it is inevitable to satisfy some natural basic needs to survive and human cannot break the shackles of society. Facebook’s corpus for Sentiment analysis in Kannada which is a South Dravidian Language. The term ‘Sentiment’ suggests a vision or opinion that is expressed in any context. As we are all aware of, the human sentiment is a social behavior and at the same time it could be studied from many perspectives. Innumerable researches are being held in the fields of Natural Language Processing and Information Extraction. In the contemporary era, with the furtherance of web technology and its improvement there is a huge volume of data is available in the web for researchers and everyday a lot of data is generated. There are many works that have been taken place towards Sentiment Analysis. The data that has been used in this paper is collected from the social media like Facebook and Kannada & English mixed in nature. The data has been classified based on how the sentiments are expressed- Positive, Overt Positive & Covert Positive, Negative, Overt Negative & Covert Negative and Neutral.

Facebook, Social Media, Sentiment Analysis, Kannada, Data Science

"Sentiment Analysis in Kannada", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 11, page no.a662-a666, November-2021, Available :http://www.jetir.org/papers/JETIR2111088.pdf

"Sentiment Analysis in Kannada", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 11, page no. ppa662-a666, November-2021, Available at : http://www.jetir.org/papers/JETIR2111088.pdf