Unsupervised Topical Organization of Documents using Corpus-based Text Analysis
This study aims at automating the process of topical keyword organization of set of documents in an input text corpus. It is conducted in the context of a larger project to investigate efficient unsupervised learning techniques to automatically extract relevant classes and their keyword descriptions...
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| Format: | conferenceObject |
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2021
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| Online Access: | http://hdl.handle.net/10725/16285 https://doi.org/10.1145/3444757.3485078 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://dl.acm.org/doi/abs/10.1145/3444757.3485078 |
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