Classification of the cyber texts and comments into two categories of positive and negative
sentiment among social media users is of high importance in the research are related to text …

Text mining and sentiment analysis have been the focus of research due to the increasing
availability of opinion data on social networking websites. Current researches dealing with …

Sentiment Analysis or opinion mining is the method of NLP to computationally identify and
categorize user opinions expressed in textual data. Mainly it is used to determine the user's …

Many online shopping users convey an assessment of a product through status comments.
Comments indicate a non-standard form of expression. Nowadays, user comments are …

In recent years, we became witnesses of a large number of websites that enable users to
contribute, modify, and grade the content. Users have an opportunity to express their …

Sentiment means classify the opinions which are in the form of text. As we are classifying the
text it must having different unstructured contains with information of particular subject. There …

In recent years, with the advancement of the internet, social media is a promising platform to
explore what going on around the world, sharing opinions and personal development. Now …

Text Classification, Text Mining and Sentiment Analysis have received huge attention,
especially because of the availability of large volume of textual data on social media, e …

Widespread internet use and the web have brought about new ways of expressing
individual sentiments. A sentiment is defined as an individual's view in which feelings …

With the rapid growth of Text sentiment analysis, need of automatic classification of digital
documents has increased. Predicting of events is also a challenging task in the near and …