As text semantics has an important role in text meaning, the term semantics has been seen
in a vast sort of text mining studies. However, there is a lack of studies that integrate the …

Word of mouth (WOM), also known as the passing of information from person to person or
opinionated text, has become the main information resource for consumers when making …

Social recommender systems aim to support user preferences and help users make better
decisions in social media. The social network and the social context are two vital elements in …

Online recommender systems are useful for media asset management where they select the
best content from a set of media assets. We are developing a recommender system called …

Opinion mining is the field of extracting and studying people's' opinions, sentiments,
attitudes, and emotions expressed in a different digital form in the form of reviews on e …

Modern information systems make it increasingly easy to gain more insight into the public
interest, which is becoming more and more important in diverse public and corporate …

The social networking sites have brought a novel horizon for students to share their views
about the learning process. Such casually shared information has a great venue in decision …

Under the domain of text mining, Sentiment Analysis is a field that is in progress these days.
Sentiment analysis is the calculative analysis of views, sentiments, opinions and positivity or …

Opinion Mining is the task of extracting from a set of documents opinions, expressed by a
source on a specified target. Opinion Mining is extracting people's opinion from the web. It …

The indexed Web increases every day, making the development of automatic methods for
knowledge extraction more relevant. The area of Sentiment Analysis or Opinion Mining aims …