Sentiment Analysis (SA) is an ongoing field of research in text mining field. SA is the
computational treatment of opinions, sentiments and subjectivity of text. This survey paper …

The study of evaluation, affect, and subjectivity is a multidisciplinary enterprise, including
sociology, psychology, economics, linguistics, and computer science. A number of excellent …

Many sentiment analysis methods rely on sentiment lexicons, containing words and their
associated sentiment, and are tailored to one specific language. Yet, the ever-growing …

While a number of isolated studies have analysed how different sentence features are
beneficial in Sentiment Analysis, a complete picture of their effectiveness is still lacking. In …

With people increasingly using emoticons in written text on the Web in order to ex-press,
stress, or disambiguate their sentiment, it is crucial for automated sentiment analysis tools to …

Progression in the popularity of social media activities had provided huge amount of data in
the form of text that can immeasurably augment its specialty. This textual data offers a …

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 Sentiment analysis from text documents is emerging field for the research in Natural
Language Processing (NLP) and text mining. Feature specific opinion matters more than the …

Sentiment Analysis or Opinion Mining is an important field in text mining. Nowadays the
products which are produced by companies or persons are reached to consumers …

The exploitation of structural aspects of content is becoming increasingly popular in rule-
based polarity classification systems. Such systems typically weight the sentiment conveyed …