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Text polarity identification method, device and equipment and readable storage medium

A polarity recognition and polarity technology, applied in the field of artificial intelligence, can solve problems such as low efficiency and large resource consumption, and achieve the effect of high labeling efficiency

Active Publication Date: 2019-06-25
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of this application provides a text polarity recognition method, device, equipment and readable storage medium, which can solve the problem of low efficiency in artificially labeling vocabulary polarity. Low, the labeling process needs to consume a lot of resources

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  • Text polarity identification method, device and equipment and readable storage medium
  • Text polarity identification method, device and equipment and readable storage medium
  • Text polarity identification method, device and equipment and readable storage medium

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Embodiment Construction

[0034] In order to make the purpose, technical solution and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0035] First, a brief introduction to the nouns involved in the embodiments of this application:

[0036] Polarity: refers to the tendency or trend of things to develop in a specific direction. Optionally, polarity can be divided into positive polarity and negative polarity. For example: in the financial field, the rise of financial products corresponds to positive polarity, and financial products A fall corresponds to negative polarity. Optionally, polarity can also be divided into positive polarity, negative polarity and intermediate polarity. Schematically, in the financial field, when a financial product neither rises nor falls, the trend of the financial product corresponds to intermediate polarity. Optionally, a positive ...

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Abstract

The invention discloses a text polarity identification method, device and equipment and a readable storage medium, and relates to the field of artificial intelligence. The method comprises the steps of obtaining target text content; performing word segmentation processing on the target text content to obtain n word segmentation vocabularies; identifying the vocabulary polarity values of the n wordsegmentation vocabularies through a machine learning model, the machine learning model comprising a polarity vocabulary table comprising seed vocabularies and corpus vocabularies, and the polarity values of the corpus vocabularies being determined according to the training corpus and the polarity values of the seed vocabularies; and determining the polarity of the target text content according tothe polarity value of the word segmentation vocabulary. The polarity value of the corpus vocabulary is determined through the seed vocabulary marked with the polarity value in advance, the problem that due to the fact that the vocabulary polarity can only be marked manually and a large number of reference vocabularies are needed in the polarity vocabulary table, a large number of manpower resources and time resources are consumed is avoided, and the marking efficiency of the polarity value of the corpus vocabulary is high.

Description

technical field [0001] The embodiments of the present application relate to the field of artificial intelligence, and in particular to a text polarity recognition method, device, equipment and readable storage medium. Background technique [0002] In the field of artificial intelligence, when processing text content, the processing methods that can be used include text translation, text polarity classification, text semantic understanding, etc. Among them, text classification refers to identifying the polarity of the text content according to the text content The polarity is used to distinguish the results expressed by the text content. For example, in the financial field, when the text content is rising, the polarity of the expression is positive; when the text content is falling, the expression polarity is negative. [0003] In related technologies, when identifying the polarity of text content, it is identified through a preset neural network model. The preset neural ne...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F16/35G06K9/62
Inventor 侯皓文
Owner TENCENT TECH (SHENZHEN) CO LTD