In this paper, we describe the results of sentiment analysis on tweets in three Indian
languages–Bengali, Hindi, and Tamil. We used the recently released SAIL dataset (Patra et …

This paper reports about our work in the MIKE 2015, Shared Task on Sentiment Analysis in
Indian Languages (SAIL) Tweets. We submitted runs for Hindi and Bengali. A multinomial …

Deep learning has an edge over the traditional machine learning algorithms, like SVM and
Naıve Bayes, for sentiment analysis because of its potential to overcome the challenges …

The present work is done as part of shared task in Sentiment Analysis in Indian Languages
(SAIL 2015), under constrained category. The task is to classify the twitter data into three …

Due to the continuous and rapid growth of social media, opinionated contents are actively
created by users in different languages about various products, services, events, and …

Abstract Sentiment Analysis in Twitter has been considered as a vital task for a decade from
various academic and commercial perspectives. Several works have been performed on …

India being a diverse country rich in spoken languages with around 23 official languages
has always left open a wide arena for NLP researchers. The increase in the availability of …

Sentiment Analysis (SA) research has gained tremendous momentum in recent times.
However, there has been little work in this area for an Indian language. We propose in this …

The contemporary work is done as slice of the shared task in Sentiment Analysis in Indian
Languages (SAIL 2015), constrained variety. Social media allows people to create and …

Social media platforms such as Twitter have evolved into a vast information sharing platform,
allowing people from a variety of backgrounds and expertise to share their opinions on …