Keyword recognition method, device, equipment, medium and computer program product
A recognition method and keyword technology, applied in the field of data analysis, can solve problems such as over-reliance on thesaurus, large limitations of keyword recognition, and inability to recognize keywords, so as to overcome limitations, strong word meaning boundaries, and high flexibility Effect
Active Publication Date: 2022-01-21
TENCENT TECH (SHENZHEN) CO LTD
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[0004] However, by comparing and analyzing the text of the keywords to be detected with the pre-built thesaurus, although the keywords can be extracted, it will also cause excessive reliance on the thesaurus, resulting in when there is no text to be detected in the thesaurus When there are many keywords, it is impossible to flexibly identify the keywords of the text to be detected, which leads to excessive limitations of keyword identification
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[0035] In order to make the purpose, technical solutions and advantages of the present application, the present application will be further described in detail below with reference to the accompanying drawings.
[0036] First, a brief introduction is made for the noun involved in the present application embodiment.
[0037] Machine Learning, ML): It is a multi-maship discipline of cross-disciplines, probability, statistical, approximation, convex analysis, algorithm complexity. Specially study how computer simulates or achieve human learning behavior, to obtain new knowledge or skills, reorganize existing knowledge structure constantly improving their performance. Machine learning is the core of artificial intelligence, which has the fundamental way to make computer intelligence, which is applied throughout the field of artificial intelligence. Machine learning and depth learning usually include artificial neural networks, confidence networks, strengthen learning, migration learni...
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The invention discloses a keyword recognition method, a device, equipment, a medium and a computer program product, and relates to the technical field of data analysis. The method comprises the steps of obtaining a target text; performing feature extraction on the target text by taking characters as units to obtain character features in the target text; performing word segmentation processing on the target text to obtain at least two word segmentation vocabularies in the target text; obtaining vocabulary features of the segmented vocabularies based on the character features; performing keyword prediction on a candidate feature formed by the at least one vocabulary feature to obtain a keyword probability corresponding to the at least one candidate feature; and determining a keyword corresponding to the target text based on the keyword probability. By means of the mode, the candidate features can be fully fused with semantic information in the target text, the flexibility of the keyword recognition process is higher, and the limitation that keyword recognition is conducted on the target text by depending on keywords stored in a word bank is overcome. The method can be applied to various scenes such as cloud technology, artificial intelligence and intelligent transportation.
Description
Technical field [0001] The present application relates to the field of data analysis, and in particular to a keyword identification method, device, device, medium, and computer program product. Background technique [0002] When processing massive text data, the most critical is to extract valuable content. Whether it is for a long text or a short text, it is often possible to peek through several keywords. Therefore, keyword identification is also very wide in the recommendation system, information retrieval field, and the accuracy of keyword identification is directly related to whether the construction of the recommended system is perfect and whether the information retrieval result is qualified. [0003] In the relevant technique, based on the pre-constructing word library implementation keyword identification, find all candidate keywords included in the word library, then determine the matching score between the candidate keyword and the text, and finally press all candidate...
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IPC IPC(8): G06F16/33G06F16/35G06F40/289G06K9/62G06N3/04G06N3/08
CPCG06F16/3344G06F16/3346G06F16/35G06F40/216G06F40/289G06N3/08G06N3/045G06F18/241G06F18/2415
Inventor 廖阔唐晶
Owner TENCENT TECH (SHENZHEN) CO LTD