Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Data analysis method and data analysis device

A data analysis and word segmentation processing technology, applied in the Internet field, can solve the problems of lack of comprehensiveness in data classification, failure to combine analysis of word-of-mouth status, etc.

Active Publication Date: 2015-11-25
TENCENT TECH (SHENZHEN) CO LTD
View PDF6 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, the shortcomings of Taobao's attribute classification include: first, the classification of data is not comprehensive; second, it fails to analyze the word-of-mouth status, and can only see the generalization of comments in one aspect

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Data analysis method and data analysis device
  • Data analysis method and data analysis device
  • Data analysis method and data analysis device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0097] In this embodiment of the present invention, a tag refers to a specific review object when a user reviews the product. For example, "The new interface of XX video is rubbish", the user's specific comment object is "interface", and the word "interface" constitutes a label.

[0098] Embodiments of the present invention provide a data analysis method and a data analysis device for automatically locating the concentrated dimension of positive and negative word-of-mouth of a product, which mainly solve the following problems: judge the emotional polarity (positive, negative, neutral) of user comments, and The common problems under polarity are automatically classified, counted and sorted, and the positive and negative reviews of user feedback and hot topics of discussion are concentrated in which aspects of the product, and the trend of change is tracked. For example, the data analysis method in the embodiment of the present invention can be implemented as follows:

[0099]...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a data analysis method and a data analysis device. The method comprises: establishing a product label library according to input text content; according to the text content, acquiring a subject that a word-of-mouth word modifies, wherein the word-of-mouth word is obtained by performing word segmentation on the text content and filtering words that reach a preset frequency after word segmentation is performed on a prestored thesaurus; matching the subject and labels in the product label library; and according to a label that matches the subject, generating a result label tree that reflects a common problem in the text content. According to the method, comment content is collected comprehensively in real time, the existing data analysis method is simplified, and data analysis accuracy is improved.

Description

technical field [0001] The invention relates to Internet technology, in particular to a data analysis method and a data analysis device. Background technique [0002] At present, after some companies collect user feedback on a certain product, they manually classify it according to the text content, and judge which aspect of the product (such as function, bug (vulnerability)) and the emotional polarity of the review are mentioned in the review content ( positive, negative). [0003] That is to say, artificially judge the product reputation and summarize the points of positive and negative reviews. By manually reading the comments one by one, it is judged whether the emotion expressed by this comment is positive, negative or neutral, and at the same time, it is judged which dimension of the product the evaluation object belongs to (such as performance, function or price). Then manually classify, and finally count and sort, and find out which dimensions the product's good an...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F17/30G06F17/27
Inventor 温春龙陈妍梁璟彪骆玘黄利贤樊中一吕虹刘敏
Owner TENCENT TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products