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Artificial intelligence in innovation: how to spot emerging trends and technologies
Firms apply strategic foresight in technology and innovation management to detect
discontinuous changes early, to assess their expected consequences, and to develop a …
discontinuous changes early, to assess their expected consequences, and to develop a …
Exploring the space of topic coherence measures
Quantifying the coherence of a set of statements is a long standing problem with many
potential applications that has attracted researchers from different sciences. The special …
potential applications that has attracted researchers from different sciences. The special …
From chatbots to phishbots?: Phishing scam generation in commercial large language models
The advanced capabilities of Large Language Models (LLMs) have made them invaluable
across various applications, from conversational agents and content creation to data …
across various applications, from conversational agents and content creation to data …
Detecting health misinformation in online health communities: Incorporating behavioral features into machine learning based approaches
Curbing the diffusion of health misinformation on social media has long been a public
concern since the spread of such misinformation can have adverse effects on public health …
concern since the spread of such misinformation can have adverse effects on public health …
An analysis of the coherence of descriptors in topic modeling
In recent years, topic modeling has become an established method in the analysis of text
corpora, with probabilistic techniques such as latent Dirichlet allocation (LDA) commonly …
corpora, with probabilistic techniques such as latent Dirichlet allocation (LDA) commonly …
Topic modeling revisited: New evidence on algorithm performance and quality metrics
Topic modeling is a popular technique for exploring large document collections. It has
proven useful for this task, but its application poses a number of challenges. First, the …
proven useful for this task, but its application poses a number of challenges. First, the …
Identifying learners' topical interests from social media content to enrich their course preferences in MOOCs using topic modeling and NLP techniques
Interests play an essential role in the process of learning, thereby enriching learners
'interests will yield to an enhanced experience in MOOCs. Learners interact freely and …
'interests will yield to an enhanced experience in MOOCs. Learners interact freely and …
[HTML][HTML] Balancing act: Tackling organized retail fraud on e-commerce platforms with imbalanced learning text models
As online shop** expands rapidly, so does the prevalence of fraud, resulting in significant
losses for retailers. According to the 2020 National Retail Federation (NRF) report …
losses for retailers. According to the 2020 National Retail Federation (NRF) report …