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Crime Science, 2017 The classification of crime into discrete categories entails a massive loss of information. Crimes emerge out of a complex mix of behaviors and situations, yet most of these details cannot be captured by singular crime type labels.
Da Kuang +2 more
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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 ...
Robert Churchill, Lisa Singh
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Comparison of learning analytics and educational data mining: A topic modeling approach
Computers and Education: Artificial Intelligence, 2021 Educational data mining and learning analytics, although experiencing an upsurge in exploration and use, continue to elude precise definition; the two terms are often interchangeably used.
David J. Lemay +2 more
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Semantic N-Gram Topic Modeling [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 In this paper a novel approach for effective topic modeling is presented. The approach is different fromtraditional vector space model-based topic modeling, where the Bag of Words (BOW) approach is followed.The novelty of our approach is that in phrase ...
Pooja Kherwa, Poonam Bansal
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Topic Modeling for Analyzing Topic Manipulation Skills
Information, 2021 There are many ways to communicate with people, the most representative of which is a conversation. A smooth conversation should not only be written in a grammatically appropriate manner, but also deal with the subject of conversation; this is known as ...
Seok-Ju Hwang +4 more
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Topic Modeling: A Comprehensive Review [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 Topic modelling is the new revolution in text mining. It is a statistical technique for revealing the underlying semantic structure in large collection of documents.
Pooja Kherwa, Poonam Bansal
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Advanced Hierarchical Topic Labeling for Short Text
IEEE Access, 2023 Hierarchical Topic Modeling is the probabilistic approach for discovering latent topics distributed hierarchically among the documents. The distributed topics are represented with the respective topic terms.
Paras Tiwari +3 more
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Estimation of Topic Similarity and Its Application to Measuring Stability of Topic Modeling [PDF]
Jiàoyù zīliào yǔ túshūguǎn xué, 2022 Topic modeling stability is a measurement of the extent to which models produced by the same modeling approach for the same corpus and with the same initial conditions have similar topics.
Sung-Chien Lin
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Topic Models with Topic Ordering Regularities for Topic Segmentation [PDF]
2014 IEEE International Conference on Data Mining, 2014 Documents from the same domain usually discuss similar topics in a similar order. In this paper we present new ordering-based topic models that use generalised Mallows models to capture this regularity to constrain topic assignments. Specifically, these new models assume that there is a canonical topic ordering shared amongst documents from the same ...
Lan Du 0002 +2 more
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