Sentiment analysis automatically evaluates people's opinions of products or services. It is an
emerging research area with promising advancements in high-resource languages such as …

The inception and rapid growth of the Web, social media, and other online forums have
resulted in the continuous and rapid generation of opinionated textual data. Several real …

The main objective of multilingual sentiment analysis is to analyze reviews regardless of the
original language in which they are written. Switching from one language to another is very …

The field of low-resource sentiment analysis has seen significant developments in recent
years. This research review SLR evaluates the approaches and data sources utilized in low …

Decision making is vital for the management of all organizations. For this reason, data
analysis has become one of the fastest-growing technologies when it comes to generating …

Sentiment analysis has become crucial for the building of opinion mining systems due to the
daily creation, sharing, and transfer of massive volumes of data and opinions via the Internet …

With the wide usage of World Wide Web (WWW) and social media platforms, fake news
could become rampant among the users. They tend to create and share the news without …

The rapid growth of Web 2.0, which enables people to generate, communicate, and share
information, has resulted in an increase in the total number of users. In developing countries …

Amidst the proliferation of social media and online platforms, sentiment analysis stands out
as a pivotal tool in Natural Language Processing (NLP), facilitating the categorization of …

Sentiment analysis, commonly referred to as opinion mining, is a fast-expanding area that
seeks to ascertain the sentiment expressed in textual data. While sentiment analysis has …