Number of the records: 1
Topic modeling on news articles using latent Dirichlet allocation
Title Topic modeling on news articles using latent Dirichlet allocation Author Kretinin Mykyta Co-authors Nguyen Giang 1972- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Source document INES 2022 : 26th IEEE international conference on intelligent engineering systems 2022 : Proceedings. P. 249-254. - Danvers, US : IEEE, 2022 / Szakál Anikó Language eng - English Country US - United States of America Document kind rozpis článkov z periodík (rzb) Citations ZHANG, Jason - KUO, Ai-Te - SCHNEIDER, Nicole R. - PETERS, Jacob - SAMET, Hanan. BroadcastSTAND: Clustering Multimedia Sources of News. In PROCEEDINGS OF THE 7TH ACM SIGSPATIAL INTERNATIONAL WORKSHOP ON LOCATION-BASED RECOMMENDATIONS, GEOSOCIAL NETWORKS AND GEOADVERTISING, LOCALREC 2023, 2023, vol., no., pp. 33-36. KHADIJA, Mutiara Auliya - NURHARJADMO, Wahyu. Enhancing Indonesian customer complaint analysis: LDA topic modelling with BERT embeddings. In Sinergi (Indonesia), 2024-01-01, 28, 1, pp. 153-162. ISSN 14102331. Dostupné na: https://doi.org/10.22441/sinergi.2024.1.015. Category ADMB - Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus Category of document (from 2022) V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka Type of document príspevok z podujatia Year 2022 Registered in SCOPUS DOI 10.1109/INES56734.2022.9922609 
article
rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore N rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2022
Number of the records: 1