We are not able to deal with a mammoth text corpus without summarizing them into a
relatively small subset. A computational tool is extremely needed to understand such a …

Recently, research on short text topic models has addressed the challenges of social media
datasets. These models are typically evaluated using automated measures. However, recent …

With the growth of online social network platforms and applications, large amounts of textual
user-generated content are created daily in the form of comments, reviews, and short-text …

Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …

Topic modelling is a machine learning technique that is extensively used in Natural
Language Processing (NLP) applications to infer topics within unstructured textual data …

Analyzing short texts infers discriminative and coherent latent topics that is a critical and
fundamental task since many real-world applications require semantic understanding of …

Recent right-wing extremist terrorists were active in online fringe communities connected to
the alt-right movement. Although these are commonly considered as distinctly hateful, racist …

Blockchain, the technology infrastructure behind the famous cryptocurrency bitcoin, can take
away the notion of trust from centralized organizations to a decentralized platform that is …

This work creates and makes publicly available the most comprehensive dataset to date
regarding climate change and human opinions via Twitter. It has the heftiest temporal …

For many applications that require semantic understanding of short texts, inferring
discriminative and coherent latent topics from short texts is a critical and fundamental task …