A self-learning accident text label and abstract generation system and method
A text label and self-learning technology, applied in the field of big data processing, can solve the problems of timeliness deviation, text label and abstract can not be standardized, etc., to reduce delay, convenient and standardized retrieval and classification statistics and accident analysis, reduce Describing the Effects of Habitual Differences
Active Publication Date: 2021-04-20
HANGZHOU XUJIAN SCI & TECH CO LTD
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Problems solved by technology
[0002] The text labels and abstracts of current accidents are generally generated manually, and the timeliness will deviate. Due to the differences in the description habits of different people, the final text labels and abstracts cannot be standardized
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[0085] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0086] see figure 1 , the present invention provides a technical solution: a self-learning accident text label and abstract generation system, including a word segmentation module 1, a word vector training module 2, a word vector model module 3, a keyword generation module 4, and a keyword library module 5 , text label generation module 6, text label library module 7, text label separation module 8, accident summary generation module 9, accident library module...
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The invention provides a self-learning accident text label and abstract generation system and method thereof, including a word segmentation module, a word vector training module, a word vector model module, a keyword generation module, a keyword library module, a text label generation module, and a text label Library module, text label classification module, accident abstract generation module, accident library module; the technical solution of the present invention generates the word vector model and keyword library of the accident according to the existing accident collection, uses the keyword library to combine up and down to get the text label, and uses the The vector model merges similar text labels to generate a text label library, uses the text label library to automatically classify new accidents to obtain standardized accident text labels, and summarizes the text labels to obtain standardized accident summary information, thereby reducing the delay in manual accident classification and summary. Improve the speed of accident analysis, reduce the differences in the description habits of different people and lead to different inductions, and provide convenient accident information standardized retrieval and classification statistics as well as accident analysis.
Description
technical field [0001] The invention relates to the technical field of big data processing, in particular to a self-learning accident text label and abstract generation system and method thereof. Background technique [0002] The text labels and abstracts of current accidents are generally generated manually, and the timeliness will deviate. Due to the differences in the description habits of different people, the final text labels and abstracts cannot be standardized. The text label here refers to the description of the accident in only one dimension, which is used for classification retrieval and retrieval keywords, and the accident summary is a simple description of the accident mixed with various text labels. Contents of the invention [0003] In order to solve the problems raised in the above-mentioned background technology, the object of the present invention is to provide a self-learning accident text label and abstract generation system and method thereof, which ge...
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IPC IPC(8): G06K9/62G06F16/33G06F40/284
CPCG06F40/284G06F18/2411G06F18/214
Inventor 鲁立虹陈尚武卢锡芹胡松涛倪仰张慧娟赵伯亮邬奇龙
Owner HANGZHOU XUJIAN SCI & TECH CO LTD