The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …

The sentiment detection of texts has been witnessed a booming interest in recent years, due
to the increased availability of online reviews in digital form and the ensuing need to …

Opinion Mining (OM) or Sentiment Analysis (SA) can be defined as the task of detecting,
extracting and classifying opinions on something. It is a type of the processing of the natural …

Sentiment analysis and opinion mining is closely coupled with each other. An extensive
research work is being carried out in these areas by using different methodologies …

Detecting emotion from text has become an interesting topic in the field of natural language
processing. Emotion detection aims to detect and recognize types of emotion from various …

Modern technological era has reshaped traditional lifestyle in several domains. The medium
of publishing news and events has become faster with the advancement of Information …

The blooming of social media has simulated interest in sentiment analysis. Sentiment
analysis aims to determine from a specific piece of content the overall attitude of its author in …

The growth of user's generated content increased in microblogging platforms like Facebook,
Twitter and Blogger in form of client reviews, comments and opinion. Using this bulk of …

Sentiment analysis becomes a very active research area in the text mining field. It aims to
extract people's opinions, sentiments, and subjectivity from the texts. Sentiment analysis can …

Sentiment analysis (also known as opinion mining) is an active research area in natural
language processing. It aims at identifying, extracting and organizing sentiments from user …