A clustering-based topic model using word networks and word embeddings
Online social networking services like Twitter are frequently used for discussions on
numerous topics of interest, which range from mainstream and popular topics (eg, music and …
numerous topics of interest, which range from mainstream and popular topics (eg, music and …
Intelligent information extraction from government on-site inspection reports of construction projects: A graph-based text mining approach
Government inspection reports detail unsafe acts and conditions that arise on construction
sites, especially front-line managers' non-compliance practices, which are hardly identified …
sites, especially front-line managers' non-compliance practices, which are hardly identified …
Detection of hidden communities in twitter discussions of varying volumes
The community-based structure of communication on social networking sites has long been
a focus of scholarly attention. However, the problem of discovery and description of hidden …
a focus of scholarly attention. However, the problem of discovery and description of hidden …
Comparative Analysis of Community Detection and Transformer-Based Approaches for Topic Clustering of Scientific Papers
We are solving the topic clustering problem, where we need to categorize papers with
initially available subjects into more consistent and higher-level topics. We approach the …
initially available subjects into more consistent and higher-level topics. We approach the …
Optimal Engagement-Diversity Tradeoffs in Social Media
Social media platforms are known to optimize user engagement with the help of algorithms.
It is widely understood that this practice gives rise to echo chambers-users are mainly …
It is widely understood that this practice gives rise to echo chambers-users are mainly …
Similarity between Units of Natural Language: The Transition from Coarse to Fine Estimation
W Mu - arxiv preprint arxiv:2210.14275, 2022 - arxiv.org
Capturing the similarities between human language units is crucial for explaining how
humans associate different objects, and therefore its computation has received extensive …
humans associate different objects, and therefore its computation has received extensive …
[PDF][PDF] Optimal Engagement-Diversity Tradeoffs in Social Media
It is no secret that social media companies heavily rely on algorithms to optimize user
engagement. This practice has a well-documented dark side that is widely scrutinized and …
engagement. This practice has a well-documented dark side that is widely scrutinized and …
Social media mining for veterinary epidemiological surveillance
AS Munaf - 2023 - dspace.stir.ac.uk
Extensive records are kept in the UK regarding large-scale farms, which include information
on farm sizes, locations, disease outbreaks, and the movement of animals. This data …
on farm sizes, locations, disease outbreaks, and the movement of animals. This data …
Themenmodellierung in forensischen Kommunikationsdaten
JM Felser - 2023 - monami.hs-mittweida.de
Die Auswertung von Kurznachrichten, die auf mobilen Endgeräten gespeichert sind, nimmt
bei strafrechtlichen Ermittlungen immer mehr an Bedeutung zu. Häufig sind Ermittler hierbei …
bei strafrechtlichen Ermittlungen immer mehr an Bedeutung zu. Häufig sind Ermittler hierbei …