Emotion feature identification method and apparatus

An emotional feature and emotion technology, applied in the information field, can solve the problems of low accuracy, low efficiency of emotional feature recognition, labor cost, and time cost prone to errors, so as to improve efficiency and accuracy, and avoid labor costs.

Inactive Publication Date: 2018-05-11
BEIJING GRIDSUM TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, due to the large number of emotional features in product review data, if the emotional features in product review data are manually identified, a large amount of labor and time costs will be invested, and the manual identification process is prone to errors, resulting in the efficiency of emotional feature recognition. lower and less accurate

Method used

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  • Emotion feature identification method and apparatus
  • Emotion feature identification method and apparatus
  • Emotion feature identification method and apparatus

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Embodiment Construction

[0020] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0021] In order to make the advantages of the technical solution of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0022] Embodiments of the present invention provide a method for identifying emotional features, such as figure 1 As shown, the method includes:

[0023] 101. Obtain the review data of the target product.

[0024]...

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Abstract

The invention discloses an emotion feature identification method and apparatus, relates to the technical field of information, and solves the problems of relatively low efficiency and relatively low accuracy of emotion feature identification in the prior art. According to the main technical scheme, the method comprises the steps of firstly obtaining comment data of a target product, wherein the product comment data includes product comment text data; secondly according to a preset processing rule, processing the product comment text data to obtain multiple sentences containing same emotion words; and finally determining a longest common substring, containing the emotion words, among the multiple sentences as an emotion feature of the target product. The emotion feature identification method and apparatus is suitable for emotion feature identification.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a method and device for identifying emotional features. Background technique [0002] With the continuous development of information technology, more and more users purchase products on the Internet and comment on the purchased products. In practical applications, product reviews directly affect product marketing. In recent years, with the increasing influence of product reviews on product marketing, it is more and more important to identify emotional features from product review data, and then perform sentiment analysis and opinion mining in natural language processing based on emotional features. Among them, the emotional feature refers to a character string that can express positive, negative or neutral. For example, according to the emotional characteristics, the author's evaluation tendency of the product in the article about the product can be analyzed. [0003] At ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27
CPCG06F40/205G06F40/216
Inventor 朱波
Owner BEIJING GRIDSUM TECH CO LTD
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