Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …

Purpose: Integration of ICCT underlying technologies and big data technology to develop a
new kind of Business analytics that can be used to solve semi-structured and unstructured …

Purpose There is a strong need for companies to monitor customer-generated content of
social media, not only about themselves but also about competitors, to deal with competition …

Sentiment analysis aims to extract opinions, attitudes, as well as emotions from social media
sites such as twitter. It has become a popular research area. The primary focus of the …

Twitter, a micro-running a blog website, is a massive repository of public opinions expressed
in the direction of numerous humans, offerings, companies, merchandise, etc. Sentiment …

Document classification is basically the process of categorizing documents in certain
categories correctly. This process, which is usually used in the field of text mining …

Businesses are the driving force behind economic systems and are the lifeblood of the
community. A business shares striking similarity to a living organism, including birth, infancy …

The data and information available in most community environments is complex in nature.
Sentimental data resources may possibly consist of textual data collected from multiple …

Motivated by the seemingly high accuracy levels of machine learning (ML) models in
Moldavian versus Romanian dialect identification and the increasing research interest on …

Classification of text documents on online media is a big data problem and requires
automation. Text classification accuracy can decrease if there are many ambiguous terms …