Text Similarity Computing Based on LDA Topic Model and Word Co-occurrence-Reference-Cited by-同舟云学术

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Text Similarity Computing Based on LDA Topic Model and Word Co-occurrence

Published:2014 Issue: Volume: Page:
ISSN:1951-6851
Container-title:Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)
language:
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Author:

Shao Minglai,Qin Liangxi

Publisher

Atlantis Press

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on a Web System Data-Filling Method Based on Optical Character Recognition and Multi-Text Similarity;Applied Sciences;2024-01-25

2. A Machine Learning-Based AI Framework to Optimize the Recruitment Screening Process;International Journal of Global Business and Competitiveness;2023-12

3. Providing A Topic-Based LSTM Model to Re-Rank Search Results;2022 7th International Conference on Machine Learning Technologies (ICMLT);2022-03-11

4. User Click Preference Prediction Using Attention-based LSTM Model;2021 6th International Conference on Systems, Control and Communications (ICSCC);2021-10-15

5. News Background Linking Using Document Similarity Techniques;Advances in Intelligent Systems and Computing;2020-11-25

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