Sentiment analysis is a method within natural language processing that evaluates and
identifies the emotional tone or mood conveyed in textual data. Scrutinizing words and …

Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …

Researchers studying sentiment analysis are interested in Twitter, a major social media
platform. Text mining research on Twitter Sentiment Analysis (TSA) is growing. Using …

Sentiment Analysis (SA) holds considerable significance in comprehending public
perspectives and conducting precise opinion-based evaluations, making it a prominent …

With the rapid growth of internet usage, especially on social media, forums, review platforms,
and blogs, an enormous amount of data is being generated. This data often contains users' …

The advancement of technology has led to the rise of social media forums and e-commerce
platforms, which have become popular means of communication, and people can express …

Purpose This study addresses the gap in understanding text analytics within the service
domain, focusing on new service development to provide insights into key research themes …

Purpose In recent times, the field of corporate intelligence has gained substantial
prominence, employing advanced data analysis techniques to yield pivotal insights for …

The food flavor science, traditionally reliant on experimental methods, is now entering a
promising era with the help of artificial intelligence (AI). By integrating existing technologies …

Sentiment analysis is a method used in machine learning to identify and examine the
sentiments that are concealed in text. Annotated data is a requirement for sentiment …