Results 31 to 40 of about 17,652,183 (292)
Conceptualization Topic Modeling [PDF]
CoRR, 2017 Recently, topic modeling has been widely used to discover the abstract topics in text corpora. Most of the existing topic models are based on the assumption of three-layer hierarchical Bayesian structure, i.e. each document is modeled as a probability distribution over topics, and each topic is a probability distribution over words.
Yi-Kun Tang +3 more
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Mining Review Unit Model for Online Review Analysis
IEEE Access, 2020 An increasing number of people are choosing to shop online; hence, online reviews are an increasingly influential factor in consumer purchasing decisions.
Qingxi Peng +3 more
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Frontiers in Environmental Science, 2022 Investor sentiment has always been an active research topic in finance. In recent years, text mining, machine learning and sentiment analysis have been very fruitful, and researchers can extract valuable information from social platforms more promptly ...
Meilan Chen +3 more
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, 2022 Technical appendix for ESM paper. The list of topic distribution. The topic model visualization.
Science, Policy and Information Studies +13 more
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Evidence map: topics, trends, and policy in the energy transitions literature
Environmental Research Letters, 2020 We develop an evidence map of the academic research on energy transitions (ETs) with a focus on what that literature says about public policy for addressing climate change.
Jiaqi Lu, Gregory F Nemet
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Language Model-Driven Topic Clustering and Summarization for News Articles
IEEE Access, 2019 Topic models have been widely utilized in Topic Detection and Tracking tasks, which aim to detect, track, and describe topics from a stream of broadcast news reports.
Peng Yang, Wenhan Li, Guangzhen Zhao
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ISPRS International Journal of Geo-Information, 2021 Online public opinion reflects social conditions and public attitudes regarding special social events. Therefore, analyzing the temporal and spatial distributions of online public opinion topics can contribute to understanding issues of public concern ...
Qin Liang, Chunchun Hu, Si Chen
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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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Modeling Topic and Role Information in Meetings using the Hierarchical Dirichlet Process [PDF]
, 2008 In this paper, we address the modeling of topic and role information in multiparty meetings, via a nonparametric Bayesian model called the hierarchical Dirichlet process.
Renals, Steve, Huang, Songfang
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Improved Parsimonious Topic Modeling Based on the Bayesian Information Criterion
Entropy, 2020 In a previous work, a parsimonious topic model (PTM) was proposed for text corpora. In that work, unlike LDA, the modeling determined a subset of salient words for each topic, with topic-specific probabilities, with the rest of the words in the ...
Hang Wang, David Miller
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