A topic modeling approach for analyzing and categorizing electronic healthcare documents in Afaan Oromo without label information

EF Dinsa, M Das, TU Abebe - Scientific Reports, 2024 - nature.com
Afaan Oromo is a resource-scarce language with limited tools developed for its processing,
posing significant challenges for natural language tasks. The tools designed for English do …

A semi-supervised approach of short text topic modeling using embedded fuzzy clustering for Twitter hashtag recommendation

PK Pattanayak, RM Tripathy, S Padhy - Discover Sustainability, 2024 - Springer
Social media stands as a crucial information source across various real-world challenges.
Platforms like Twitter, extensively used by news outlets for real-time updates, categorize …

[PDF][PDF] A novel heuristic for graph-based topic modeling using spectral clustering

PK Pattanayak, RM Tripathy, S Padhy - J Theor Appl Inf Technol, 2024 - jatit.org
Topic modeling is one of the popular techniques for identifying the latent topic from a large
corpus of text data. Various topic modeling techniques have been studied for managing …

[HTML][HTML] TR-GPT-CF: A Topic Refinement Method Using GPT and Coherence Filtering

I Widiastuti, HS Yong - Applied Sciences, 2025 - mdpi.com
Traditional topic models are effective at uncovering patterns within large text corpora but
often struggle with capturing the contextual nuances necessary for meaningful interpretation …

[PDF][PDF] Topic Detection on Twitter Using Deep Learning Method with Feature Expansion GloVe

W Ramadhanti, EB Setiawan - Jurnal Ilmiah Teknik Elektro …, 2023 - eprints.uad.ac.id
Twitter is a medium of communication, transmission of information, and exchange of
opinions on a topic with an extensive reach. Twitter has a tweet with a text message of 280 …

Flowchart Generation and Mind Map Creation using Extracted Summarized Text

A Kulkarni, H Shah, L D'Mello… - … Conference on Recent …, 2023 - ieeexplore.ieee.org
The technology discussed in this research study aims to transform text into a variety of visual
representations, including mind maps, flowcharts, and summaries. The research underlines …

Transforming Education Policy: Evaluating UAQTE Program Implementation Through LDA, BoW and TF-IDF Techniques

CY Sy, LL Maceda, TD Palaoag… - 2024 26th International …, 2024 - ieeexplore.ieee.org
This research aimed to deepen our understanding of the issues and challenges faced by
beneficiaries of the Philippines' Universal Access to Quality Tertiary Education (UAQTE) …

A Semi-supervised Approach of Cluster-Based Topic Modeling for Effective Tweet Hashtag Recommendation

PK Pattanayak, RM Tripathy, S Padhy - SN Computer Science, 2024 - Springer
Twitter has emerged as a significant source of data to be used for text summarization, Topic
Modeling, document clustering, information retrieval, sentiment analysis, etc. Using …

LoockMe: An Ever Evolving Artificial Intelligence Platform for Location Scouting in Greece

E Trivizakis, V Aidonis, VC Pezoulas, Y Goletsis… - … Applications of Neural …, 2023 - Springer
LoockMe is an artificial intelligence-powered location scouting platform that combines deep
learning image analysis, cutting-edge machine learning natural language processing (NLP) …

What Twitter Data Tell Us about the Future?

A Landowska, M Robak, M Skorski - arxiv preprint arxiv:2308.02035, 2023 - arxiv.org
Anticipation is a fundamental human cognitive ability that involves thinking about and living
towards the future. While language markers reflect anticipatory thinking, research on …