Graph representation learning aims to effectively encode high-dimensional sparse graph-
structured data into low-dimensional dense vectors, which is a fundamental task that has …

There has been an exponential increase in usage of social informatics in recent years. This
makes opinion mining more complex, especially for unstructured data available online …

Purpose The increasing demands for customized services and frequent market variations
have posed challenges to managing and controlling the manufacturing processes. Despite …

Nowadays, a lot of people express their opinions on various topics using social networking
sites. Twitter has become a famous social networking site where people can express their …

Topic-specific political stance inference in social networks (SNs) aims at inferring target
users' attitudes toward different target topics. Traditional methods mainly used a language …

In the modern era each and every thing is digital. E-commerce takes the place of the
physical market. People buy anything not going physically anywhere and they are used the …

With the tremendous proliferation of social media in day-to-day life, social content has
become one of the potential information sources. Ensuring social trust is crucial to averting …

Online reviews play a significant role in the success of a business. Deep learning models
have emerged as crucial tools in this domain, with one-dimensional Convolutional Neural …

Abstract Sentiment Analysis/Opinion Mining integrates the discipline of Computer Science
as well as Business Management. Sentiment Analysis on Fake and Genuine Reviews …

This paper focuses on assessing public awareness of women in STEM disciplines. The
underrepresentation of women in STEM has garnered recent attention, and this study is …