Results 21 to 30 of about 2,925,546 (286)
The Evolution of Topic Modeling [PDF]
ACM Computing Surveys, 2022 Topic models have been applied to everything from books to newspapers to social media posts in an effort to identify the most prevalent themes of a text corpus. We provide an in-depth analysis of unsupervised topic models from their inception to today. We trace the origins of different types of contemporary topic models, beginning in the 1990s, and we ...
Rob Churchill, Lisa Singh
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Use of topic modelling to analyze the Euronews Corpus
, 2022 How can we use topic modelling to study early modern handwritten news sheets?
Toth Gabor Mihaly
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IEEE Access, 2023 The research interest of knowledge in human resource management (HRM) is significant. Bibliometric or systematic literature review studies capture the main areas and trends in the field of HRM. However, many HRM studies work only with a limited number of
Lukas Falat +3 more
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Polylingual topic models [PDF]
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 2 - EMNLP '09, 2009 Topic models are a useful tool for analyzing large text collections, but have previously been applied in only monolingual, or at most bilingual, contexts. Meanwhile, massive collections of interlinked documents in dozens of languages, such as Wikipedia, are now widely available, calling for tools that can characterize content in many languages.
Mimno, David +4 more
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TOPIC MODELLING SKRIPSI MENGGUNAKAN METODE LATENT DIRICLHET ALLOCATION
JSiI (Jurnal Sistem Informasi), 2020 Abstrak - Program Studi Sastra Inggris di Universitas Islam Negeri Sunan Ampel Surabaya (UINSA) telah ditemukan permasalahan bahwa belum ada yang melakukan clustering pada topik skripsi mahasiswa. Clustering tersebut digunakan dalam topic modelling untuk
Alif Iffan Alfanzar +2 more
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, 2022 After the covid-vaccine program has been implemented worldwide, vaccination is a hot topic in mass media, especially on Twitter. This study evaluated language attitudes of Covid-19 vaccine-related tweets from January 2020 to September 2022 through a ...
Jacqueline Armijos
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Enhancing Indonesian customer complaint analysis: LDA topic modelling with BERT embeddings
Jurnal Ilmiah SINERGI, 2023 Social media data can be mining for recommended systems to know the best trends or patterns. The customers have the freedom to ask questions about the product, tell their demands, and convey their complaints through social media.
Mutiara Auliya Khadija +1 more
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On a Topic Model for Sentences
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016 Probabilistic topic models are generative models that describe the content of documents by discovering the latent topics underlying them. However, the structure of the textual input, and for instance the grouping of words in coherent text spans such as sentences, contains much information which is generally lost with these models.
Georgios Balikas +2 more
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Uncovering dynamic textual topics that explain crime
Royal Society Open Science, 2021 Crime analysis/mapping techniques have been developed and applied for crime detection and prevention to predict where and when crime occurs, leveraging historical crime records over a spatial area and covariates for the spatial domain.
Seppo Virtanen
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