CN103810282B - 一种罗杰斯特‑正态模型话题提取方法 - Google Patents
一种罗杰斯特‑正态模型话题提取方法 Download PDFInfo
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- CN103810282B CN103810282B CN201410056958.2A CN201410056958A CN103810282B CN 103810282 B CN103810282 B CN 103810282B CN 201410056958 A CN201410056958 A CN 201410056958A CN 103810282 B CN103810282 B CN 103810282B
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- 238000000605 extraction Methods 0.000 title claims abstract description 15
- 239000013598 vector Substances 0.000 claims abstract description 53
- 238000009826 distribution Methods 0.000 claims abstract description 43
- 238000000034 method Methods 0.000 claims abstract description 39
- 238000005070 sampling Methods 0.000 claims abstract description 25
- 239000011159 matrix material Substances 0.000 claims description 47
- 238000004364 calculation method Methods 0.000 claims description 41
- 230000003416 augmentation Effects 0.000 claims description 14
- 230000003190 augmentative effect Effects 0.000 claims description 9
- 230000009466 transformation Effects 0.000 claims description 5
- 230000010354 integration Effects 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 abstract 1
- 230000008569 process Effects 0.000 description 5
- 230000009471 action Effects 0.000 description 3
- 238000005065 mining Methods 0.000 description 2
- 238000004800 variational method Methods 0.000 description 2
- 238000007418 data mining Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/31—Indexing; Data structures therefor; Storage structures
- G06F16/313—Selection or weighting of terms for indexing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
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CN201410056958.2A CN103810282B (zh) | 2014-02-19 | 2014-02-19 | 一种罗杰斯特‑正态模型话题提取方法 |
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CN103810282A CN103810282A (zh) | 2014-05-21 |
CN103810282B true CN103810282B (zh) | 2017-02-15 |
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Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN105868186A (zh) * | 2016-06-01 | 2016-08-17 | 清华大学 | 简单高效的话题提取方法 |
CN111259081A (zh) * | 2020-02-04 | 2020-06-09 | 杭州数梦工场科技有限公司 | 一种数据同步方法、装置、电子设备及存储介质 |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8463648B1 (en) * | 2012-05-04 | 2013-06-11 | Pearl.com LLC | Method and apparatus for automated topic extraction used for the creation and promotion of new categories in a consultation system |
CN103207856A (zh) * | 2013-04-03 | 2013-07-17 | 同济大学 | 一种本体概念及层次关系生成方法 |
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- 2014-02-19 CN CN201410056958.2A patent/CN103810282B/zh active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8463648B1 (en) * | 2012-05-04 | 2013-06-11 | Pearl.com LLC | Method and apparatus for automated topic extraction used for the creation and promotion of new categories in a consultation system |
CN103207856A (zh) * | 2013-04-03 | 2013-07-17 | 同济大学 | 一种本体概念及层次关系生成方法 |
Non-Patent Citations (3)
Title |
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Generalized Relational Topic Models with Data Augmentation;Ning Chen et al.;《Processing of the Twenty-Third International Joint Conference on Artifical Intelligence》;20131231;1273-1279 * |
Gibbs Max-Margin Topic Models with Fast Sampling Algorithms;Jun Zhu et al.;《Processing of the 30th International Conference in Machine Learning》;20131231;124-132 * |
Scalale Inference for Logistic-Normal Topic Models;Jianfei Chen et al.;《Advances in Neural Information Processing Systems 26 (NIPS 2013)》;20131231;1-9 * |
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Effective date of registration: 20210527 Address after: 100084 a1901, 19th floor, building 8, yard 1, Zhongguancun East Road, Haidian District, Beijing Patentee after: Beijing Ruili Wisdom Technology Co.,Ltd. Address before: 100084 mailbox, 100084-82 Tsinghua Yuan, Beijing, Haidian District, Beijing Patentee before: TSINGHUA University |
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Application publication date: 20140521 Assignee: Beijing Intellectual Property Management Co.,Ltd. Assignor: Beijing Ruili Wisdom Technology Co.,Ltd. Contract record no.: X2023110000073 Denomination of invention: A Topic Extraction Method for Rogers Normal Model Granted publication date: 20170215 License type: Common License Record date: 20230531 |