Results 11 to 20 of about 1,153 (163)

BERTopic for Enhanced Idea Management and Topic Generation in Brainstorming Sessions

Information (Switzerland)
Brainstorming is an important part of the design thinking process since it encourages creativity and innovation through bringing together diverse viewpoints. However, traditional brainstorming practices face challenges such as the management of large volumes of ideas.
Asmaâ Cheddak, Tarek Ait Baha, Youssef Es-Saady   +2 more
exaly   +3 more sources

Mapping the unseen in practice: comparing latent Dirichlet allocation and BERTopic for navigating topic spaces

Scientometrics
This article focuses on comparing two widely used techniques of topic modeling, namely latent Dirichlet allocation (LDA) and BERTopic. The first is a Bayesian probabilistic model and the latter is rooted in deep learning.
Pierre Benz, Carolina Pradier, Diego Kozlowski   +2 more
exaly   +3 more sources

Analyzing OSHA Construction Accident Reports Using BERTopic Topic Modeling for Thematic Insights [PDF]

Buildings
Hazards at construction sites can lead to severe accidents, posing significant risks to worker safety, financial stability, and public confidence in industry safety standards.
Yuntao Cao, Ziyi Qu, Shujie Wu, Yuting Chen, Martin Skitmore, Xingguan Ma, Jun Wang   +6 more
doaj   +2 more sources

Knowledge Discovery Through Topic Modeling on GoPartner User Reviews Using BERTopic, LDA, and NMF

Journal of Applied Informatics and Computing
Transportation and food delivery services are one of the driving sectors of the digital economy in Indonesia. The e-Conomy SEA 2023 report shows that the transportation and food delivery services sector experienced a decrease in GMV in 2023 by 8% from ...
Metti Detricia Pratiwi, Ken Ditha Tania
doaj   +2 more sources

Analyzing Factors Affecting Overall Customer Satisfaction Using Hotel Ratings and Reviews With BERTopic and Three-Factor Theory

SAGE Open
This research was conducted to aid hotels in identifying and enhancing the hotel selection attributes that customers deem important for maintaining revenue and competitive advantage. Departing from conventional survey methods, we utilized BERTopic on the
Jun Li, Byunghyun Lee, Jaekyeong Kim
doaj   +2 more sources

Analyzing public demands on China's online government inquiry platform: A BERTopic-Based topic modeling study.

PLoS ONE
This study aims to enhance governmental decision-making by leveraging advanced topic modeling algorithms to analyze public letters on the "People Call Me" online government inquiry platform in Zhejiang Province, China.
Zhuoyuan Tang, Xuan Pan, Zhouyi Gu
doaj   +2 more sources

PEMODELAN TOPIK DALAM AL-QUR'AN MENGGUNAKAN LIBRARY BERTOPIC PADA MODEL BAHASA BERT

Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2023
Al-Qur'an adalah kitab suci dalam agama Islam yang terdiri dari 114 surah dan 6236 ayat. Isi Al-Qur'an telah dikategorikan ke dalam berbagai kategori oleh para ulama besar dari seluruh dunia, termasuk hukum, adat (perang), kenikmatan, sejarah, dan ...
Herwinsyah Herwinsyah
doaj   +1 more source

MaartenGr/BERTopic: v0.13.0

, 2023
Highlights Calculate topic distributions with .approximate_distribution regardless of the cluster model used Generates topic distributions on a document- and token-levels Can be used for any document regardless of its size!
Tim Isbister, William Tran, vincent d warmerdam, Zach Schillaci, hp0404, Domenic Rosati, dkopljar27, Rafael Valero Fernández, srulikbd, Jiaxin Wen, Nils Reimers, Franz Louis Cesista, Felipe Alves Siqueira, simonfelding, Gus Moir, Maarten Grootendorst, Anubhab Das, David Dai, mustapha ajeghrir   +18 more
core   +1 more source

MaartenGr/BERTopic: v0.15

, 2023
Highlights: Multimodal Topic Modeling Train your topic modeling on text, images, or images and text! Use the bertopic.backend.MultiModalBackend to embed images, text, both or even caption images!
Nils Reimers, Felipe Alves Siqueira, Franz Louis Cesista, Daniel van Strien, Gus Moir, Maarten Grootendorst, Anubhab Das, Domenic Rosati, Ahmed Elashry, David Dai, Jiaxin Wen   +10 more
core   +1 more source

BERTops: Studying BERT Representations under a Topological Lens

2022 International Joint Conference on Neural Networks (IJCNN), 2022
Proposing scoring functions to effectively understand, analyze and learn various properties of high dimensional hidden representations of large-scale transformer models like BERT can be a challenging task. In this work, we explore a new direction by studying the topological features of BERT hidden representations using persistent homology (PH).
Jatin Chauhan, Manohar Kaul
openaire   +2 more sources