Sentiment Analysis is the process of identifying and categorising the sentiments expressed
in a text into positive or negative. The words which carry the sentiments are the keys in …

There is an increasing demand for sentiment analysis of text from social media which are
mostly code-mixed. Systems trained on monolingual data fail for code-mixed data due to the …

In recent years, due to the availability of voluminous data on web for Indian languages, it has
become an important task to analyze this data to retrieve useful information. Because of the …

Sentiment Analysis (SA) is an application of Natural Language Processing (NLP) to extract
the sentiments expressed in the text. In this paper, we experimented five approaches to …

To obtain extensive annotated data for under-resourced languages is challenging, so in this
research, we have investigated whether it is beneficial to train models using multi-task …

Identification of users' polarities and mining their opinions in various areas, especially social
networks, has become one of the popular and useful research fields. Although opinion …

Recently, many social media users expressed their conditions, ideas, emotions using local
languages​​ on social media, for example via tweets or status. Due to the large number of …

In the era of technology, each and every one of us is expressing their opinion on social
media platforms very frequently. And these opinions are mostly expressed in regional …

Educational institutions collect feedback from students and analyze them to provide effective
teaching experience and knowledge to students. The laborious process of present …

Sentiment analysis refers to determining the polarity of the opinions represented by text. The
paper proposes an approach to determine the sentiments of tweets in one of the Indian …