| 000 | 03431nam a22005415i 4500 | ||
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| 001 | 978-981-16-0100-2 | ||
| 003 | DE-He213 | ||
| 005 | 20240423125409.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 210522s2021 si | s |||| 0|eng d | ||
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| 024 | 7 |
_a10.1007/978-981-16-0100-2 _2doi |
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_a006.35 _223 |
| 100 | 1 |
_aZong, Chengqing. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aText Data Mining _h[electronic resource] / _cby Chengqing Zong, Rui Xia, Jiajun Zhang. |
| 250 | _a1st ed. 2021. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2021. |
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| 300 |
_aXXI, 351 p. 214 illus., 7 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aChapter 1. Introduction -- Chapter 2. Data Annotation and Preprocessing -- Chapter 3. Text Representation -- Chapter 4. Text Representation with Pretraining and Fine-tuning -- Chapter 5. Text classification -- Chapter 6. Text Clustering -- Chapter 7. Topic Model -- Chapter 8. Sentiment Analysis and Opinion Mining -- Chapter 9. Topic Detection and Tracking -- Chapter 10. Information Extraction -- Chapter 11. Automatic Text Summarization. . | |
| 520 | _aThis book discusses various aspects of text data mining. Unlike other books that focus on machine learning or databases, it approaches text data mining from a natural language processing (NLP) perspective. The book offers a detailed introduction to the fundamental theories and methods of text data mining, ranging from pre-processing (for both Chinese and English texts), text representation and feature selection, to text classification and text clustering. It also presents the predominant applications of text data mining, for example, topic modeling, sentiment analysis and opinion mining, topic detection and tracking, information extraction, and automatic text summarization. Bringing all the related concepts and algorithms together, it offers a comprehensive, authoritative and coherent overview. Written by three leading experts, it is valuable both as a textbook and as a reference resource for students, researchers and practitioners interested in text data mining. It can also be used for classes on text data mining or NLP. | ||
| 650 | 0 | _aNatural language processing (Computer science). | |
| 650 | 0 | _aData mining. | |
| 650 | 0 | _aMachine learning. | |
| 650 | 1 | 4 | _aNatural Language Processing (NLP). |
| 650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
| 650 | 2 | 4 | _aMachine Learning. |
| 700 | 1 |
_aXia, Rui. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 700 | 1 |
_aZhang, Jiajun. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9789811600999 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811601019 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811601026 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-16-0100-2 |
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| 942 | _cSPRINGER | ||
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_c177487 _d177487 |
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