Text-mining technologies have substantially affected financial industries. As the data in
every sector of finance have grown immensely, text mining has emerged as an important …

The form of communication on Facebook is not only limited to posting and commenting, but
also includes sharing, liking and reacting. This study looks into how a Facebook diabetes …

The growing incidents of counterfeiting and associated economic and health consequences
necessitate the development of active surveillance systems capable of producing timely and …

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 …

Digital information is consistently accessed at increasing rates [1]. Facebook is one of the
digital platforms where people post information relating to behaviors, attitudes, and feelings …

Online social networks contain a large amount of data that can be converted into valuable
and insightful information. Text mining approaches allow exploring large-scale data …

Recently, the usage of social media websites has become an attractive phenomenon in our
daily life. These sites allow their users to communicate with each other through various tools …

Abstract Text and Data Mining (TDM) is a vital tool in the Big Data economy. TDM uses
techniques from natural language processing, machine learning, information retrieval, and …

Sentiment analysis (SA) is an essential task for many domains where it is crucial to know
users' public opinion about events, products, brands, politicians and so on. Existing works …

Social networking has gradually become a routine for people to post their opinions, views
and comments on any product or person. People share their feelings online in a very …