In recent times, sentiment analysis has become one of the most active research and
progressively popular areas in information retrieval and text mining. To date, sentiment …

Text, either online or offline can be presented in two different writing styles: formal and
informal writing style. A Piece of text may contain a lot of emotion, ideas or feelings. Various …

Sentiment analysis techniques are increasingly exploited to categorize the opinion text to
one or more predefined sentiment classes for the creation and automated maintenance of …

Since early 2000, sentiment analysis has grown to be one of the most active research areas
in Natural Language Processing (NLP). Since then, researchers have shown a tremendous …

Background: For almost every domain, a tremendous degree of data is accessible in an
online and offline mode. Billions of users are daily posting their views or opinions by using …

Sentiment analysis or opinion mining refers to the automatic extraction of sentiments from a
natural language text. Although many studies focusing on sentiment analysis have been …

Sentiment analysis is a method to determine whether the feedback given by the user is
positive or negative. The comments posted by users consists noisy text which includes …

Code-mixing refers to the mixed use of multiple languages. It is prevalent in multilingual
societies and is also one of the most challenging natural language processing tasks. In this …

The automatic extraction of information from unstructured sources has opened up new ways
for querying, organizing, and analyzing data by building a clean semantics of structured …

Sentiment analysis is the computational study of people’ s opinion or feedback,
attitudes, and emotions toward entities, individuals, issues, events, topics and their …