Online social network such as Twitter, Facebook and Instagram are increasingly becoming
the go-to medium for users to acquire information and discuss what is happening globally …

Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

In recent years, studies related to topic derivation in Twitter have gained a lot of interest from
businesses and academics. The interconnection between users and information has made …

Purpose The purpose of this paper is to use Twitter analytics for analyzing the startup
ecosystem of India. Design/methodology/approach The paper uses descriptive analysis and …

Conventional topic modeling schemes, such as Latent Dirichlet Allocation, are known to
perform inadequately when applied to tweets, due to the sparsity of short documents. To …

Topic and sentiment joint modelling has been successfully used in sentiment analysis for
product reviews. However, the problem of text sparse is universal with the widespread smart …

Social networks have become important platforms for the marketing and sale of illicit drugs.
Hashtags make it easier for users to engage in drug trafficking, further increasing the risk of …

Micro-blog has changed people's life, study, and work styles. Every day, we want to know
what public opinion news happens and how it evolves. Extracting and tracking these topics …

Recent advancements in artificial intelligence (AI), particularly in generative AI (GAI), have
significantly influenced society, prompting extensive discussions about their societal impact …

User generated content in the social media platforms are being considered as an important
source for information about consumers and other emerging trends by the businesses …