The goal of this study was to conduct a literature review of current approaches and
techniques for identifying, understanding, and predicting human behaviors through mining a …

The online information explosion has created great challenges and opportunities for both
information producers and consumers. Understanding customer's feelings, perceptions and …

This article presents a systematic review of research on predicting human behavior through
unstructured textual data, employing a comprehensive selection process illustrated in a flow …

Aspect-based sentiment analysis (ABSA) plays a significant role in the field of big data and
aims to distinguish the sentiment polarity of specific aspects in given sentences; however …

Subjectivity analysis determines existence of subjectivity in text using subjective clues. It is
the first task in opinion mining process. The difference between subjectivity analysis and …

As we see the growing social media transparency, where users want to express their
opinions we also see a growing need of Sentiment analysis (SA) or Opinion mining …

Good governance means that the institutions are able to meet the needs of its stakeholders.
It is participatory and inclusive through considering the opinions and sentiments of the …

Social messages classification is a research domain that has attracted the attention of many
researchers in these last years. Indeed, the social message is different from ordinary text …

The Viral Marketing is a relatively new form of marketing that exploits social networks in
order to promote a product, a brand, etc. It is based on the influence that exerts one user on …

The development of automated sentiment analysis and opinion mining approaches for
enhancing the precision and scalability of text analysis has been made possible by the …