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A Topic Coverage Approach to Evaluation of Topic Models
IEEE Access, 2021 Topic models are widely used unsupervised models capable of learning topics – weighted lists of words and documents – from large collections of text documents.
Damir Korencic +3 more
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Topic Model Combining Topic Word Embedding and Attention Mechanism [PDF]
Jisuanji gongcheng, 2020 With the popularity of social software,mining effective information from massive digital documents has been a hotspot.The classic topic models including LDA and LSA capture topic information based on word co-occurrence and ignore the context information ...
QIN Tingting, LIU Zheng, CHEN Kejia
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Recurrent Embedded Topic Model
Applied Sciences, 2023 In this paper we propose the Recurrent Embedded Topic Model (RETM) which is a modification of the Embedded Topic Modelling (ETM) by reusing the Continuous Bag of Words (CBOW) that the model had implemented and applying it to a recurrent neural network ...
Carlos Vargas, Hiram Ponce
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Applied Sciences, 2023 As the main driving force for the digital transformation of the construction industry, the uncertainty of digital technology in the application process has seriously hindered the high-quality development of the construction industry.
Hui Li +5 more
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The Combination of Contextualized Topic Model and MPNet for User Feedback Topic Modeling
IEEE Access, 2023 In the era of big data and ubiquitous internet connectivity, user feedback data plays a crucial role in product development and improvement. However, extracting valuable insights from the vast pool of unstructured text data found in user feedback ...
Mohammad Hamid Asnawi +3 more
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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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Micro-blog topic detection algorithm based on topic model
网络与信息安全学报, 2016 Micro-blog data has the characteristic of real-time,volume,short-text,and noise-rich.So it is a challenge for the traditional topic detection technology.A novel micro-blog topic detection algorithm based on topic model was proposed.Firstly,the micro-blog
Hua-jun HUANG +2 more
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Zhishi guanli luntan, 2020 [Purpose/significance] This paper comprehensively summarizes the application of topic models in public policy texts, which helps researchers learn from existing research results and provides theoretical and practical support
Long Yixuan , Yi Huifang
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A Cross-Platform Personalized Recommender System for Connecting E-Commerce and Social Network
Future Internet, 2022 In this paper, we build a recommender system for a new study area: social commerce, which combines rich information about social network users and products on an e-commerce platform.
Jiaxu Zhao +3 more
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Semantic Recognition of Ship Motion Patterns Entering and Leaving Port Based on Topic Model
Journal of Marine Science and Engineering, 2022 Recognition and understanding of ship motion patterns have excellent application value for ship navigation and maritime supervision, i.e., route planning and maritime risk assessment.
Gaocai Li +5 more
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