Results 1 to 10 of about 1,598,322 (222)
Selection of the Optimal Number of Topics for LDA Topic Model—Taking Patent Policy Analysis as an Example [PDF]
Entropy, 2021 This study constructs a comprehensive index to effectively judge the optimal number of topics in the LDA topic model. Based on the requirements for selecting the number of topics, a comprehensive judgment index of perplexity, isolation, stability, and ...
Jingxian Gan, Yong Qi
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UNDERSTANDING EMPLOYEE VOICE USING MACHINE LEARNING METHOD: EXAMPLE OF HOTEL BUSINESSES [PDF]
Geo Journal of Tourism and Geosites, 2022 Online reviews are used in tourism research to understand tourist behaviour. However, online comments made by hotel employee have not yet been adequately researched.
Ozan ÇATIR
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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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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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A Pitman-Yor Process Self-Aggregated Topic Model for Short Texts of Social Media
IEEE Access, 2021 In recent years, with the rapid growth of social media, short texts have been very prevalent on the internet. Due to the limited length of each short text, word co-occurrence information in this type of documents is sparse.
Yue Niu, Hongjie Zhang, Jing Li
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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,Jun-shan TAN,Jiao-hua QIN
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Polysemy Needs Attention: Short-Text Topic Discovery With Global and Multi-Sense Information
IEEE Access, 2021 The topic model has been widely applied to various research domains such as information retrieval, data mining, and so on. It can discover topics of texts in an unsupervised way. In the early years, most researches mainly focused on long texts.
Heng-Yang Lu +3 more
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IEEE Access, 2022 The landscape of software engineering research has changed significantly from one year to the next in line with industrial needs and trends. Therefore, today’s research literature on software engineering has a rich and multidisciplinary content ...
Fatih Gurcan +3 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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Trends in COVID-19 Publications: Streamlining Research Using NLP and LDA
Frontiers in Digital Health, 2021 Background: Research publications related to the novel coronavirus disease COVID-19 are rapidly increasing. However, current online literature hubs, even with artificial intelligence, are limited in identifying the complexity of COVID-19 research topics.
Akash Gupta +3 more
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