With the technological advancement in the field of digital transformation, the use of the
internet and social media has increased immensely. Many people use these platforms to …

Sentiment analysis can be considered a major application of machine learning, more
particularly natural language processing (NLP). As there are varieties of applications …

With the rapid development of Internet and its usages, Sentiment analysis, the subsidiary of
Natural Language processing has also grown. Through, it the implicit emotion in the text can …

With the advent of deep learning paradigms, many new algorithms have been flourishing
which can be leveraged for the task of sentiment analysis. In this paper, we present an …

Presently, individuals generate tremendous volumes of information on the internet. As a
result, sentiment analysis is a critical tool for automating a deep understanding of …

Sentiment analysis is used for social media supervising. It is used to analyze comments,
recommendations provided by the reviewers. Depending on this analysis, products will be …

With the increasing rate at which data is created by internet users on various platforms, it
becomes necessary to analyze and make use of the data by the Defense and other …

In this day and age an increasing number of people are using online social networks and
services to not only connect and communicate but also to voice their opinions. Sentiment …

The proliferation of user-generated content (UGC) on social media platforms has made user
opinion tracking a strenuous job. Twitter, being a huge microblogging social network, could …

Sentiments are the emotions or opinions of an individual encapsulated within texts or
images. These emotions play a vital role in the decision-making process for a business. A …