Results 11 to 20 of about 1,022,373 (272)
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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Differential Topic Models [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 In applications we may want to compare different document collections: they could have shared content but also different and unique aspects in particular collections. This task has been called comparative text mining or cross-collection modeling.
Chen, Changyou +4 more
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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022 We propose a new problem called coordinated topic modeling that imitates human behavior while describing a text corpus. It considers a set of well-defined topics like the axes of a semantic space with a reference representation. It then uses the axes to model a corpus for easily understandable representation. This new task helps represent a corpus more
Akash, Pritom Saha +2 more
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Frontiers in Psychology, 2023 Which population factors have predisposed people to disregard government safety guidelines during the COVID-19 pandemic and what justifications do they give for this non-compliance?
Maria Bălăeț +12 more
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A Query-Driven Topic Model [PDF]
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 Topic modeling is an unsupervised method for revealing the hidden semantic structure of a corpus. It has been increasingly widely adopted as a tool in the social sciences, including political science, digital humanities and sociological research in general.
Rob Procter, Zheng Fang, Yulan He
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Technology Project Summaries as a Predictor of Crowdfunding Success
Technology Innovation Management Review, 2022 Crowdfunding has emerged in recent years as an important alternative means for technology entrepreneurs to raise funds for their products and business ideas. While the success rate of crowdfunding projects is somewhat low, scholarly understanding of what
M. Westerlund +3 more
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Royal Society Open Science, 2022 This paper examines the relationship between events reported in international news via categorical discourses and Bitcoin price. Natural language processing was adopted in this study to model data-driven discourses in the crypto-economy, specifically the
Kelly Ann Coulter
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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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MAPPING THE CHATTER: SPATIAL METAPHORS FOR DYNAMIC TOPIC MODELLING OF SOCIAL MEDIA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Topic modelling is a branch of Natural Language Processing (NLP) that deals with the discovery of conversation topics in a given document corpus. In social media, this translates into aggregating social media posts, e.g.
L. Morandini +2 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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