Topic modeling using latent Dirichlet allocation: A survey
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 …
relatively small subset. A computational tool is extremely needed to understand such a …
Short text topic modeling techniques, applications, and performance: a survey
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 …
fundamental task since many real-world applications require semantic understanding of …
Using topic modeling methods for short-text data: A comparative analysis
R Albalawi, TH Yeap, M Benyoucef - Frontiers in artificial intelligence, 2020 - frontiersin.org
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 …
user-generated content are created daily in the form of comments, reviews, and short-text …
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
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 …
data discovery, and finding relationships among data and text documents. Researchers …
Assessing the extent and types of hate speech in fringe communities: A case study of alt-right communities on 8chan, 4chan, and Reddit
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 …
the alt-right movement. Although these are commonly considered as distinctly hateful, racist …
[HTML][HTML] Blockchain technology for cybersecurity: A text mining literature analysis
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 …
away the notion of trust from centralized organizations to a decentralized platform that is …
Topic modeling for short texts with auxiliary word embeddings
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 …
discriminative and coherent latent topics from short texts is a critical and fundamental task …
The climate change Twitter dataset
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 …
regarding climate change and human opinions via Twitter. It has the heftiest temporal …
Experimental explorations on short text topic mining between LDA and NMF based Schemes
Learning topics from short texts has become a critical and fundamental task for
understanding the widely-spread streaming social messages, eg, tweets, snippets and …
understanding the widely-spread streaming social messages, eg, tweets, snippets and …
Social media analytics and value creation in urban smart tourism ecosystems
In this article, we demonstrate the potential value that the spatial and semantic analysis of
social media messages can provide to smart tourism ecosystems. Building upon a …
social media messages can provide to smart tourism ecosystems. Building upon a …