Global ETD Search

Concept-based Text Clustering

Huang, LanUniversity of Waikato2011

Thematic organization of text is a natural practice of humans and a crucial task for today's vast repositories. Clustering automates this by assessing the similarity between texts and organizing them accordingly, grouping like ones together and separating those with different topics. Clusters …

waikato-masters Repository record for Concept-based Text Clustering (opens in a new tab)

A Study on Leveraging Generative Artificial Intelligence and Text Clustering to Support Vendors

Hubbard, StevenMassachusetts Institute of Technology2024

… Our specific focus is on the effectiveness of clustering algorithms like DBSCAN and K-Means for grouping text feedback based on semantic similarity and on the employment of retrieval augmented generation (RAG) for extracting actionable insights. Our findings indicate a relative effectiveness of …

mit Repository record for A Study on Leveraging Generative Artificial Intelligence and Text Clustering to Support Vendors (opens in a new tab)

A COMPARATIVE STUDY ON ONTOLOGY GENERATION AND TEXT CLUSTERING USING VSM, LSI, AND DOCUMENT ONTOLOGY MODELS

Taylor, William

clemson Repository record for A COMPARATIVE STUDY ON ONTOLOGY GENERATION AND TEXT CLUSTERING USING VSM, LSI, AND DOCUMENT ONTOLOGY MODELS (opens in a new tab)

Adapting Transformers for Structured Data Domains

Tipirneni, Sai SindhuraVirginia Tech2025

… programming languages, (iii) short text clustering, and (iv) natural language interfaces to relational databases —this dissertation proposes novel domain-specific Transformer based models. For the first domain, we present STraTS, a self-supervised Transformer that represents data as …

vt Repository record for Adapting Transformers for Structured Data Domains (opens in a new tab)

Detecting deceptive behaviour in the wild : text mining for online child protection in the presence of noisy and adversarial social media communications

Peersman, Claudia, Rashid, Awais, Baron, AlistairLancaster University2018

A real-life application of text mining research “in the wild”, i.e. in online social media, differs from more general applications in that its defining characteristics are both domain and process dependent. This gives rise to a number of challenges of which contemporary research has only scratched …

lancaster Repository record for Detecting deceptive behaviour in the wild : text mining for online child protection in the presence of noisy and adversarial social media communications (opens in a new tab)

Identification of Factors Associated with Fume Events Using Text Mining and Data Mining Methods

O'Connor, Mary B.

… of this research was to explore unstructured textual data and identify important factors associated with these events. Models using machine learning algorithms were developed and tested using variables gleaned from the text mining process and variables found in self-reported aviation …

embry-riddle Repository record for Identification of Factors Associated with Fume Events Using Text Mining and Data Mining Methods (opens in a new tab)

Intelligent code for automated code compliance checking in construction

Zhang, RuichuanUniversity of Illinois at Urbana-Champaign2022

Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-05-01

uiuc Repository record for Intelligent code for automated code compliance checking in construction (opens in a new tab)

Multi-document summarization based on document clustering and neural sentence fusion

Fuad, Tanvir Ahmed, University of Lethbridge. Faculty of Arts and Science2018

lethbridge