Probabilistic Topic Models: Foundation and Application
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer Nature Singapore
2023
Singapore Springer |
| Ausgabe: | 1st ed. 2023 |
| Schlagworte: | |
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| Beschreibung: | 1 Online-Ressource (X, 149 p. 1 illus) |
| ISBN: | 9789819924318 |
| DOI: | 10.1007/978-981-99-2431-8 |
Internformat
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Datensatz im Suchindex
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| author | Jiang, Di Zhang, Chen Song, Yuanfeng |
| author_facet | Jiang, Di Zhang, Chen Song, Yuanfeng |
| author_role | aut aut aut |
| author_sort | Jiang, Di |
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| dewey-full | 006.35 |
| dewey-hundreds | 000 - Computer science, information, general works |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/978-981-99-2431-8 |
| edition | 1st ed. 2023 |
| format | Electronic eBook |
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| id | DE-604.BV049033745 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:17:11Z |
| indexdate | 2024-08-01T11:03:00Z |
| institution | BVB |
| isbn | 9789819924318 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034296406 |
| oclc_num | 1389185863 |
| open_access_boolean | |
| owner | DE-860 DE-19 DE-BY-UBM DE-858 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 |
| owner_facet | DE-860 DE-19 DE-BY-UBM DE-858 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 |
| physical | 1 Online-Ressource (X, 149 p. 1 illus) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2023 |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer Nature Singapore Springer |
| record_format | marc |
| spellingShingle | Jiang, Di Zhang, Chen Song, Yuanfeng Probabilistic Topic Models Foundation and Application Natural Language Processing (NLP) Machine Learning Data Science Computational Linguistics Theory and Algorithms for Application Domains Design and Analysis of Algorithms Natural language processing (Computer science) Machine learning Artificial intelligence—Data processing Computational linguistics Computer science Algorithms |
| title | Probabilistic Topic Models Foundation and Application |
| title_auth | Probabilistic Topic Models Foundation and Application |
| title_exact_search | Probabilistic Topic Models Foundation and Application |
| title_exact_search_txtP | Probabilistic Topic Models Foundation and Application |
| title_full | Probabilistic Topic Models Foundation and Application by Di Jiang, Chen Zhang, Yuanfeng Song |
| title_fullStr | Probabilistic Topic Models Foundation and Application by Di Jiang, Chen Zhang, Yuanfeng Song |
| title_full_unstemmed | Probabilistic Topic Models Foundation and Application by Di Jiang, Chen Zhang, Yuanfeng Song |
| title_short | Probabilistic Topic Models |
| title_sort | probabilistic topic models foundation and application |
| title_sub | Foundation and Application |
| topic | Natural Language Processing (NLP) Machine Learning Data Science Computational Linguistics Theory and Algorithms for Application Domains Design and Analysis of Algorithms Natural language processing (Computer science) Machine learning Artificial intelligence—Data processing Computational linguistics Computer science Algorithms |
| topic_facet | Natural Language Processing (NLP) Machine Learning Data Science Computational Linguistics Theory and Algorithms for Application Domains Design and Analysis of Algorithms Natural language processing (Computer science) Machine learning Artificial intelligence—Data processing Computational linguistics Computer science Algorithms |
| url | https://doi.org/10.1007/978-981-99-2431-8 |
| work_keys_str_mv | AT jiangdi probabilistictopicmodelsfoundationandapplication AT zhangchen probabilistictopicmodelsfoundationandapplication AT songyuanfeng probabilistictopicmodelsfoundationandapplication |