Sentiment analysis in politics uses Natural Language Processing (NLP) and linguistic
computing to understand how people feel about a political term [1]. Textual data mining is …

Sentiment analysis and opinion mining are designed to detect peoples' emotions and
opinions. Many public and private sectors are interested in extracting information regarding …

Social media platform such as Twitter provides a space where users share their thoughts
and opinion as well as connect, communicate, and contribute to certain topics using short …

The use of social media has become an integral part of daily routine in modern society.
Social media portals offer powerful public platforms where people can freely share their …

Social media's recent explosion has given individuals a strong platform on which to express
their ideas. To understand user orientation and make better judgments, businesses (or …

The Internet has become a platform for online learning, exchanging ideas and sharing
opinions. The fast-growing social web contributes substantial amount of data generated by …

The emergence of Twitter in Thailand has given millions of users a platform to express and
share their opinions about products and services, among other subjects, and so Twitter is …

Twitter has turned into a tiny source of dynamic data for blogging places. People post on a
wide range of topics and constantly communicate their assumptions, discuss current …

Social networking services such as Facebook and Twitter and social media hosting websites
such as Flickr and YouTube have become increasingly popular in recent years. One key …

Sentiment analysis entails discerning whether text conveys positive, neutral, or negative
sentiments to ascertain the mood of the public concerning a given entity. This method relies …