Results 91 to 100 of about 1,751 (215)

Quantitative identification and characterization of technological trends in the electric vehicle industry

Journal of Intellectual Property
With growing attention being paid to electric vehicle (EV) technology as a response to climate change, researchers have been actively investigating the classification and trajectory trends of EV technology.
Wonjun Choi, Hyunseok Park
doaj   +1 more source

Topic Modeling of the SrpELTeC Corpus: A Comparison of NMF, LDA, and BERTopic

Annals of Computer Science and Information Systems
At the "19th Conference on Computer Science and Intelligence Systems, FedCSIS 2024 (IEEE #61123)" held in Belgrade, September 8–11, 2024, a paper titled Topic Modeling of the SrpELTeC Corpus: A Comparison of NMF, LDA, and BERTopic, autora Teodora Mihajlov, Milica Ikonić Nešić, Ranka Stanković and Olivera Kitanović, was presented within the session ...
Mihajlov, Teodora, Ikonić Nešić, Milica, Stanković, Ranka, Kitanović, Olivera   +3 more
openaire   +3 more sources

Analysis of Public Topics on The Indonesian House of Representatives in The 17+8 Demonstration Demands in News and Social Media Using BERTopic

Rekayasa
Social media has become the main space for the public to voice their opinions and criticisms of government institutions. One issue that has received a lot of attention is the 17+8 demonstration demanding accountability from the Indonesian House of ...
Anugerah Marta Wijaya, Doni Abdul Fatah, Yeni Kustiyahningsih   +2 more
doaj   +1 more source

Integrating topic clustering and sentiment analysis for visitor perception evaluation in historic blocks: insights from the Dadou Road case

Journal of Asian Architecture and Building Engineering
Historic blocks play a crucial role in sustainable urban and rural development by preserving cultural heritage while adapting to contemporary needs. However, visitor perspectives – particularly regarding spatial perceptions and satisfaction – remain ...
Xiao Gu, Xinran Zhang, Zhihua Zhao, Jiaxiu Ping, Gang Du   +4 more
doaj   +1 more source

BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights

CoRR
This paper explores the intersection of Natural Language Processing (NLP) and financial analysis, focusing on the impact of sentiment analysis in stock price prediction. We employ BERTopic, an advanced NLP technique, to analyze the sentiment of topics derived from stock market comments.
Enmin Zhu, Jerome Yen
openaire   +2 more sources

Artificial Intelligence−Driven Analysis Identifies Anterior Cruciate Ligament Reconstruction, Hip Arthroscopy and Femoroacetabular Impingement Syndrome, and Shoulder Instability as the Most Commonly Published Topics in Arthroscopy

Arthroscopy, Sports Medicine, and Rehabilitation
Purpose: To use advanced topic modeling, specifically the Bidirectional Encoder Representations from Transformers Topic (BERTopic) Model, to analyze research topics in Arthroscopy: The Journal of Arthroscopic and Related Surgery (Arthroscopy).
Henry B.G. Baird, B.S., William Allen, M.D., Mauricio Gallegos, M.D., Cody C. Ashy, M.D., Harris S. Slone, M.D., W. Michael Pullen, M.D.   +5 more
doaj   +1 more source

LLM-Assisted Topic Reduction for BERTopic on Social Media Data

The BERTopic framework leverages transformer embeddings and hierarchical clustering to extract latent topics from unstructured text corpora. While effective, it often struggles with social media data, which tends to be noisy and sparse, resulting in an excessive number of overlapping topics. Recent work explored the use of large language models for end-
Wannes Janssens, Matthias Bogaert, Dirk Van den Poel   +2 more
openaire   +3 more sources

Analisis Sentimen Menggunakan IndoBERT-BiLSTM dan Pemodelan Topik Menggunakan BERTopic terhadap Program Makan Bergizi Gratis [PDF]

Program makan bergizi gratis (MBG) yang diinisiasi oleh Presiden Prabowo Subianto pada tanggal 6 Januari 2025 bertujuan untuk menyediakan makanan bergizi bagi anak-anak sekolah, balita, ibu hamil, dan ibu menyusui guna mengatasi masalah gizi buruk dan ...
Fiantono, Ellen Theodora
core  

Exploring the Effects of Pre-Processing Techniques on Topic Modeling of an Arabic News Article Data Set

Applied Sciences
This research investigates the impacts of pre-processing techniques on the effectiveness of topic modeling algorithms for Arabic texts, focusing on a comparison between BERTopic, Latent Dirichlet Allocation (LDA), and Non-Negative Matrix Factorization ...
Haya Alangari, Nahlah Algethami
doaj   +1 more source

Analisis Perubahan Opini Publik Terhadap Kendaraan Listrik di Indonesia Melalui Komentar YouTube: Pendekatan Topic Modeling BERTopic [PDF]

Penelitian ini membahas bagaimana sebuah perubahan opini publik terhadap kendaraan listrik di Indonesia dapatdianalisis melalui komentar YouTube dengan menggunakan pendekatan topic modeling menggunakan algoritmaBERTopic.
Yolla Putri Ervanisari, Muhamad Koyimatu, Kristine Angelina Simanjuntak   +2 more
core   +2 more sources