Sentiment Analysis (SA) has been a core interest in the field of text mining research, dealing
with computational processing of sentiments, views, and subjective nature of the text. Due to …

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 …

Human communication is often embedded with emotion and it can be expressed via
different mediums like vocal interaction, texts, non-verbal communication like facial …

In today's digital era, the proliferation of vernacular languages such as Hindi, Marathi,
Bengali, Tamil, and Malayalam cannot be overlooked. The social media sites like Facebook …

Opinion analysis is by a long shot most basic zone of characteristic language handling. It
manages the portrayal of information to choose the motivation behind the wellspring of the …

Sentiment analysis is an area of study that deals with extraction, identification or otherwise
characterization of the sentiment content of written text units. Sentiment is meant by feelings …

Objective: This paper aims at classifying the Tamil movie reviews as positive and negative
using supervised machine learning algorithms. Methods/Analysis: A novel machine learning …

The enormous number of user activity on online social networks results in a considerable
amount of data which expresses the opinion from millions of people with diversity in their …

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 …

In recent times, sentiment analysis in low resourced languages and regional languages has
become emerging areas in natural language processing. Researchers have shown greater …