Topics in the haystack: Enhancing topic quality through corpus expansion
Extracting and identifying latent topics in large text corpora have gained increasing
importance in Natural Language Processing (NLP). Most models, whether probabilistic …
importance in Natural Language Processing (NLP). Most models, whether probabilistic …
Hybrid topic modeling method based on dirichlet multinomial mixture and fuzzy match algorithm for short text clustering
Topic modeling methods proved to be effective for inferring latent topics from short texts.
Dealing with short texts is challenging yet helpful for many real-world applications, due to …
Dealing with short texts is challenging yet helpful for many real-world applications, due to …
Customer satisfaction analysis with Saudi Arabia mobile banking apps: a hybrid approach using text mining and predictive learning techniques
M Alrizq, A Alghamdi - Neural Computing and Applications, 2024 - Springer
Mobile banking is becoming increasingly popular as a new means of delivering financial
services, particularly in places where many people lack access to traditional banking …
services, particularly in places where many people lack access to traditional banking …
Signs of imminent collapse: Can hotel bankruptcy or failure be predicted from guest reviews?
LDAN Dioko, JF Guo - International Journal of Hospitality Management, 2024 - Elsevier
This study examines the conceptual and methodological potential of predicting imminent
hotel failure based on detecting early warning linguistic signals encoded and embedded in …
hotel failure based on detecting early warning linguistic signals encoded and embedded in …
[HTML][HTML] Health communication on social media at the early stage of the pandemic: Examining health professionals' COVID-19 related tweets
Focusing on health professionals' tweets regarding COVID-19, this study examines whether
and how those tweets are unique based on their identity as health experts. The data …
and how those tweets are unique based on their identity as health experts. The data …
GPTopic: Dynamic and Interactive Topic Representations
Topic modeling seems to be almost synonymous with generating lists of top words to
represent topics within large text corpora. However, deducing a topic from such list of …
represent topics within large text corpora. However, deducing a topic from such list of …
Decoding mood of the Twitterverse on ESG investing: opinion mining and key themes using machine learning
R Jaiswal, S Gupta, AK Tiwari - Management Research Review, 2024 - emerald.com
Purpose Grounded in the stakeholder theory and signaling theory, this study aims to
broaden the research agenda on environmental, social and governance (ESG) investing by …
broaden the research agenda on environmental, social and governance (ESG) investing by …
[PDF][PDF] Applied Mathematics and Nonlinear Sciences
Y Liu - Virtual Reality (VR), 2024 - sciendo.com
Among the many structures of foundation pit, the pile-anchor support structure has the
characteristics of high safety, low cost, not occupying the space of foundation pit and …
characteristics of high safety, low cost, not occupying the space of foundation pit and …
Mining LDA topics on construction engineering change risks based on graded evidence
L Jin, C Li, Z Zhu, S Zou, X Sun - PLOS ONE, 2024 - journals.plos.org
Engineering change (EC) risk may negatively impact project schedule, cost, quality, and
stakeholder satisfaction. However, existing methods for managing EC risk have certain …
stakeholder satisfaction. However, existing methods for managing EC risk have certain …
One-way ticket to the moon? An NLP-based insight on the phenomenon of small-scale neo-broker trading
Abstract We present an Natural Language Processing based analysis on the phenomenon
of “Meme Stocks”, which has emerged as a result of the proliferation of neo-brokers like …
of “Meme Stocks”, which has emerged as a result of the proliferation of neo-brokers like …