… field of sentiment analysis in general and Indian languages specifically. The current status
of Indian languages in sentiment analysis is classified according to the Indian language …

… to the sentiment analysis problem. A classic example of the code-mix language is Hinglish
which … Hinglish is widely used language in India to communicate over the web. For eg movie …

… The approach in this paper presents the sentiment analysis of the SAIL 2015 data consisting
of monolingual tweets in one of the three Indian languages (Hindi, Bengali, and Tamil). …

… The proposed work [7] provides a technique to predict the stock market in the Indian economy.
This paper uses sentimental analysis to obtain polarity scores from different social media …

… XML-R for sentiment analysis in Hindi language (non-English … SemEval-2017 sentiment
analysis task on English language. … and product sentiment analysis datasets on Hindi language. …

… In this paper, we have performed sentiment analysis of a radio show conducted by Indian
Prime Minister and tweets associated with it. We have analyzed written episodes of the radio …

… However, the Marathi language which is the third most popular language in India still lags …
In this paper, we present the first major publicly available Marathi Sentiment Analysis Dataset - …

… Vinayakumar, MA Kumar, and KP Soman, “AMRITA_CEN-NLP@SAIL2015: Sentiment
analysis in Indian language using regularized least square approach with randomized feature …

… learning methods used in sentiment analysis of code-mixed social networking data. Section
III presents the results of Sentiment Analysis of Code-mixed Indian languages; Section IV …

… of Indian citizens regarding the nationwide lockdown enforced by the Indian government to
… In this work, the sentiment analysis of tweets posted by Indian citizens has been performed …