Sentiment analysis is the task of automatically determining from text the attitude, emotion, or
some other affectual state of the author. This chapter summarizes the diverse landscape of …

As a response to the growing availability of informal, opinionated texts like blog posts and
product review websites, a field of Sentiment Analysis has sprung up in the past decade to …

Recent advances in machine learning have led to computer systems that are humanlike in
behavior. Sentiment analysis, the automatic determination of emotions in text, is allowing us …

Recent advances in text analysis have led to finer-grained semantic analysis, including
automatic sentiment analysis—the task of measuring documents, or chunks of text, based on …

Sentiment analysis is a growing field at the intersection of linguistics and computer science
that attempts to automatically determine the sentiment contained in text. Sentiment can be …

The detection of expressions of sentiment in online text has become a popular Natural
Language Processing application. The task is commonly defined as identifying the words or …

As a primary means of communication, texts are used to implicitly or explicitly reflect
emotions. Emotion or sentiment detection from text has emerged as an important and …

A vast majority of the work in Sentiment Analysis has been on developing more accurate
sentiment classifiers, usually involving supervised machine learning algorithms and a …

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 …

People make judgments about the world around them. They harbor positive and negative
attitudes about people, organizations, places, events, and ideas. We regard these types of …