A systematic review of the use of topic models for short text social media analysis
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 …
datasets. These models are typically evaluated using automated measures. However, recent …
A data-driven, comparative review of the academic literature and news media on blockchain-enabled supply chain management: Trends, gaps, and research needs
MS Sangari, A Mashatan - Computers in Industry, 2022 - Elsevier
The application of blockchain technology in supply chain management has become a
popular area of discussion in research and practice. This paper develops a computational …
popular area of discussion in research and practice. This paper develops a computational …
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 …
Exploring emerging hacker assets and key hackers for proactive cyber threat intelligence
Cyber attacks cost the global economy approximately $445 billion per year. To mitigate
attacks, many companies rely on cyber threat intelligence (CTI), or threat intelligence related …
attacks, many companies rely on cyber threat intelligence (CTI), or threat intelligence related …
An empirical study of developer discussions on low-code software development challenges
Low-code software development (LCSD) is an emerging paradigm that combines minimal
source code with interactive graphical interfaces to promote rapid application development …
source code with interactive graphical interfaces to promote rapid application development …
Text mining of open-ended questions in self-assessment of university teachers: An LDA topic modeling approach
The large amount of text that is generated daily on the web through comments on social
networks, blog posts and open-ended question surveys, among others, demonstrates that …
networks, blog posts and open-ended question surveys, among others, demonstrates that …
Topic modeling in software engineering research
Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …
Hincti: A cyber threat intelligence modeling and identification system based on heterogeneous information network
Y Gao, X Li, H Peng, B Fang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Cyber attacks have become increasingly complicated, persistent, organized, and
weaponized. Faces with this situation, drives a rising number of organizations across the …
weaponized. Faces with this situation, drives a rising number of organizations across the …
Developer discussion topics on the adoption and barriers of low code software development platforms
Low-code software development (LCSD) is an emerging approach to democratize
application development for software practitioners from diverse backgrounds. LCSD …
application development for software practitioners from diverse backgrounds. LCSD …
A systematic literature review on bad smells–5 w's: which, when, what, who, where
EV de Paulo Sobrinho, A De Lucia… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Bad smells are sub-optimal code structures that may represent problems needing attention.
We conduct an extensive literature review on bad smells relying on a large body of …
We conduct an extensive literature review on bad smells relying on a large body of …