Businesses use sentiment analysis for market insights to improve performance. Sentiment
analysis application in building a smart society is immense, and there is a need to delineate …

Investors are constantly aware of the behaviour of stock markets. This affects their emotions
and motivates them to buy or sell shares. Financial sentiment analysis allows us to …

In recent years, large language models (LLMs) have achieved remarkable success in
natural language processing (NLP). LLMs require an extreme amount of parameters to …

Opinion Mining (OM) is a field of Natural Language Processing (NLP) that aims to capture
human sentiment in the given text. With the ever-spreading of online purchasing websites …

Sentiment analysis is one of the effective techniques for mining the opinion from shapeless
data contains text like review of the products, review of the movie. Sentiment analysis is …

In this paper we evaluate public sentiment and opinion on Brexit during September and
October 2019 by collecting over 16 million user messages from Twitter-world's largest online …

User-generated content on self-media platforms significantly influences the market. In the
era of Web 2.0, consumers make purchasing decisions based on electronic word-of-mouth …

Social media has become an indispensable part of our daily lives in recent times. On social
media, users commonly express their thoughts and opinions by sharing a substantial …

Sentiment analysis addresses the issue of interpreting the data presented in several
contexts and realms in terms of feelings, interests, and opinions. It can be useful for …

Abstract Every day, Facebook, Twitter, Weibo and other social network sites and major e-
commerce sites generate a large number of online reviews with emotions. The analysing …