Results 21 to 30 of about 2,670 (204)

Enhancing API Documentation through BERTopic Modeling and Summarization

CoRR, 2023
As the amount of textual data in various fields, including software development, continues to grow, there is a pressing demand for efficient and effective extraction and presentation of meaningful insights. This paper presents a unique approach to address this need, focusing on the complexities of interpreting Application Programming Interface (API ...
AmirHossein Naghshzan, Sylvie Ratté
openaire   +2 more sources

An Experimental Assessment of the Efficacy of BERTopic [PDF]

, 2023
openTopic modelling is an unsupervised machine-learning technique for finding abstract topics in a large collection of documents. It helps in organizing, understanding, and summarizing large collections of textual information while discovering the latent
ZAHIR, FARIN BINTA
core  

Indonesian Hoax News Classification with Multilingual Transformer Model and BERTopic

Informatica, 2022
Technology and information growth make all internet users can play a role in disseminating information, including hoax news. One way that can be done to avoid hoax news is to look for sources of information, but valid news is not always perceived as 'true' by individuals because human judgments can lead to bias.
Leonnardo Benjamin Hutama, Derwin Suhartono   +1 more
openaire   +1 more source

ANALISIS KOMPARASI PEMODELAN TOPIK METODE LATENT DIRICHLET ALLOCATION (LDA) DAN BERTOPIC PADA BERITA BERBAHASA INDONESIA [PDF]

, 2023
Pemodelan topik adalah teknik analisis teks yang dapat menemukan struktur topik tersembunyi dalam korpus. Teknik ini berguna untuk pelabelan otomatis pada himpunan data teks untuk klasifikasi atau untuk meningkatkan relevansi dari mesin pencari.
Ahmad Dwi Yanuara Nugroho, NIM.: 19106050025
core   +1 more source

Enhancing BERTopic with Intermediate Layer Representations

CoRR
BERTopic is a topic modeling algorithm that leverages transformer-based embeddings to create dense clusters, enabling the estimation of topic structures and the extraction of valuable insights from a corpus of documents. This approach allows users to efficiently process large-scale text data and gain meaningful insights into its structure.
Dominik Koterwa, Maciej Switala
openaire   +3 more sources

The economics and management of job burnout: The results of topic modelling

Управленец
Job burnout, becoming increasingly widespread lately, reduces employee productivity, which has an adverse impact on global economy. The article presents an analysis of academic publications on the economics and management of job burnout, reveals key ...
Maria A. Molodchik, Nikita A. Matkin
doaj   +1 more source

A Comparative Analysis of Topic Reduction Techniques for BERTopic

IEEE Access
BERTopic is a state-of-the-art topic modeling framework that generates topics by clustering contextualized document embeddings. However, its default clustering algorithm, HDBSCAN, often generates an excessive number of topics, which hinders meaningful comparisons or applications in downstream tasks.
Wannes Janssens, Matthias Bogaert, Dirk Van den Poel   +2 more
openaire   +2 more sources

Research on the Design of Footwear for Older People based on Text Sentiment Analysis

Pige Kexue Yu Gongcheng
Objective With the acceleration of population aging, the market demand for footwear for older people continues to grow. However, there is a disconnect between the consumer experience of existing products and technical optimization.
Lukun WANG, Yunhe LI
doaj   +1 more source

Expert Validation of Thematic Modeling (BERTopic) and Subsequent Application of LLM to Selected Topics in Qualitative Research Within the Framework of Thematic Analysis

Интеракция. Интервью. Интерпретация
This article explores the application of machine learning and generative language models to the analysis of qualitative interviews. The aim of the study is to develop and validate a mixed methodology combining topic modeling (BERTopic) with expert ...
Polina Igorevna Chervotkina
doaj   +1 more source

When Collaboration Bridges or Breaks: A Systematic Review of Emerging Trends in Supply Chain Resilience and Sustainability

Business Strategy and the Environment, EarlyView.
ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia, Luca Urciuoli   +1 more
wiley   +1 more source