Research on sentic computing has received intensive attention in recent years, as indicated
by the increased availability of academic literature. However, despite the growth in literature …

Nowadays, opinion mining and sentiment analysis are the hot topics of research in social
networks. Twitter is a popular social media that has general way of expressing opinions and …

Integrating online and offline data is critical for uncovering the interdependence between
policy and public emotional and behavioral responses in order to aid the development of …

The effortless expansion of Internet access has eventually transformed the dissemination
behavior toward E-Mode. Thus, the usage of online or, more specifically,“Digital” texts has …

The health sector has benefited in many ways from the data science and artificial
intelligence (AI). One of the most promising applications of data science and AI in the …

Purpose This paper proposes an approach to identify categorical influencers (ie influencers
is the person who is active in the targeted categories) in social media channels. Categorical …

With the accelerated evolution of social networks, there is a tremendous increase in
opinions by the people about products or services. While this user-generated content in …

Big data deals with data of very large data size, heterogeneous data types and from different
sources. The data is very complex in nature and having growing data. Dealing with big data …

In recent few years, due to the exponential growth of users on online social networking sites
(OSNs), mainly over micro-blogging sites like Twitter, the OSNs now resemble the real world …

The recent era has seen significant growth of technologies in the field of Natural Language
Processing (NLP). But the scarce resource languages like Bengali have not got much …