Sentiment Analysis is probably one of the best-known area in text mining. However, in
recent years, as big data rose in popularity more areas of text classification are being …

Social networking platforms have become an essential means for communicating feelings to
the entire world due to rapid expansion in the Internet era. Several people use textual …

Due to the Internet's rapid expansion, social networking sites have emerged as crucial tools
for sharing emotions with the entire globe. Many people share their thoughts or opinions …

Emotion recognition has emerged as an important research area which may reveal some
valuable input to a variety of purposes. People express their emotions directly or indirectly …

Artificial Intelligence (AI) has been used for processing data to make decisions, interact with
humans, and understand their feelings and emotions. With the advent of the internet, people …

Emotion detection from text is a relatively new sub-field of artificial intelligence closely
related to Sentiment Analysis (SA). SA detects positive, neutral, or negative emotions in text …

Emotion detection (ED) is a branch of sentiment analysis that deals with the extraction and
analysis of emotions. The evolution of Web 2.0 has put text mining and analysis at the …

Emotion detection has become an intriguing issue for researchers because of its
psychological, social, and commercial significance. People express their feelings directly or …

Sentiment analysis from text consists of extracting information about opinions, sentiments,
and even emotions conveyed by writers towards topics of interest. It is often equated to …

With the rise of social media on the internet, one of the most important study fields is
sentiment analysis. Millions of people trade their thoughts, ideas, expressions, sentiments …