Results 31 to 40 of about 52,118 (285)
Automatic Generation of Topic Labels [PDF]
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 Topic modelling is a popular unsupervised method for identifying the underlying themes in document collections that has many applications in information retrieval. A topic is usually represented by a list of terms ranked by their probability but, since these can be difficult to interpret, various approaches have been developed to assign descriptive ...
Alokaili, A., Aletras, N., Stevenson, M.
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Survey on Pseudo-Labeling Methods in Deep Semi-supervised Learning [PDF]
Jisuanji kexue yu tansuo, 2022 With the development of intelligent technology, deep learning has become a hot topic in machine learning. It is playing a more and more important role in various fields.
LIU Yafen, ZHENG Yifeng, JIANG Lingyi, LI Guohe, ZHANG Wenjie
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Topic Model Recommendation Algorithm Combining Social Relationship and Time Factors [PDF]
Jisuanji gongcheng, 2020 The user behavior preference is often affected by many factors such as social relationships,time and so on.However,when constructing the user preference model,if only one single factor is considered,the model can be one-sided,resulting in incorrect ...
GAO Maoting, WANG Ji
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Multimodal Topic Labelling [PDF]
Proceedings of the 15th Conference of the European Chapter of the
Association for Computational Linguistics: Volume 2, Short Papers, 2017 © 2017 Association for Computational Linguistics. Topics generated by topic models are typically presented as a list of topic terms. Automatic topic labelling is the task of generating a succinct label that summarises the theme or subject of a topic, with the intention of reducing the cognitive load of end-users when interpreting these topics ...
Ionut Sorodoc +3 more
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Analyzing LDA and NMF Topic Models for Urdu Tweets via Automatic Labeling
IEEE Access, 2021 The understanding and analyzing of available content on Social media Platforms such as Twitter and Facebook, through various topic modeling methods is not supervised.
Zoya +3 more
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Dynamic Automated Labeling System for Real-Time User Intention Analysis
IEEE Access, 2023 Real-time online user responses can be useful for identifying people’s reactions to business strategies or social phenomena. Many approaches have been proposed to classify user responses, yet most of them exploit either manual or automatic ...
Jinju Park, Hayoung Oh
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Journal of Orthopaedic Reports, 2023 Introduction: The present manuscript discusses the basic science of bone fluorescence and the surgical debridement of chronic osteomyelitis under fluorescence-guidance. The fluorescence of bone occurs through a two-fold mechanism: natural fluorescence of
Garrhett G. Via, Jennifer L. Jerele
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Ilkom Jurnal Ilmiah, 2023 The pros and cons regarding online learning has been a hot topic in society, both on social media and in the real world. Indonesian netizens still post opinions about online learning on social media such as Twitter.
M. Khairul Anam +5 more
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The Polylingual Labeled Topic Model [PDF]
, 2015 Accepted for publication at KI 2015 (38th edition of the German Conference on Artificial Intelligence)
Posch, Lisa +3 more
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Radio Labeling of Supersub—Division of Path Graphs
IEEE Access, 2023 Motivated by the channel assignment problem, we study the radio labeling of graphs. The radio labeling problem is an important topic in discrete mathematics due to its diverse applications, e.g., frequency assignment in mobile communication systems ...
Baskar Mari, Ravi Sankar Jeyaraj
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