Understanding the sentiment of a comment from a video or an image is an essential task in
many applications. Sentiment analysis of a text can be useful for various decision-making …

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 …

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 …

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 …

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 …

Sentiment analysis of online contents related to e-news, product, services etc., become very
important in this digital era in order to improve the quality of the service provided. The …

Multimodality has shown to be helpful in several natural language processing tasks. Thus,
adding multiple modalities to the traditional sentiment analysis has also proven to be useful …

An increase in the use of smartphones has laid to the use of the internet and social media
platforms. The most commonly used social media platforms are Twitter, Facebook …

YouTube is a boon, and through it people can educate, entertain, and express themselves
about various topics. YouTube India currently has millions of active users. As there are …

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 …