Sentiment analysis is a text classification branch, which is defined as the process of
extracting sentiment terms (ie feature/aspect, or opinion) and determining their opinion …

The essential use of natural language processing is to analyze the sentiment of the author
via the context. This sentiment analysis (SA) is said to determine the exactness of the …

Sentiment analysis is the computational study of people's opinions, sentiments, emotions,
moods, and attitudes. This fascinating problem offers numerous research challenges, but …

Sentiment analysis (SA) has become one of the most active and progressively popular areas
in information retrieval and text mining due to the expansion of the World Wide Web (WWW) …

Sentiment analysis has applications in diverse contexts such as in the gathering and
analysis of opinions of individuals about various products, issues, social, and political …

Opinion mining or sentiment analysis is the computational study of people's opinions,
appraisals, attitudes, and emotions toward entities such as products, services, organizations …

The study of evaluation, affect, and subjectivity is a multidisciplinary enterprise, including
sociology, psychology, economics, linguistics, and computer science. A number of excellent …

The spread of information on Facebook and Twitter is much more efficient than on traditional
social media platforms. For word-of-mouth (WOM) marketing, social media have become a …

Purpose This study aims to predict hotel demand through text analysis by investigating
keyword series to increase demand predictions' precision. To do so, this paper presents a …

Topic models have been widely used to discover latent topics in text documents. However,
they may produce topics that are not interpretable for an application. Researchers have …