Mobile application endogenous big data statistic analysis method
A mobile application and statistical analysis technology, applied in text database clustering/classification, semantic analysis, electronic digital data processing, etc., can solve the problems of ignoring huge effects, single machine learning, and deviation of processing results, etc., to achieve flexible and good content The effect of instruction
Active Publication Date: 2017-12-08
贵州昭阳供应链服务有限公司
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[0014] At present, there are many statistical analysis methods for comments, but most of them are based on a single machine learning or a single dictionary-based scheme, and the processing results have a bias
For comment information on the Internet, most of the text analysis based on Weibo data is used to obtain the monitoring of Internet public opinion, but it ignores the large amount of text data information brought by mobile APP in the mobile Internet era. great role in disseminating
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[0070] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0071] Such as figure 1 As shown, the mobile application endogenous big data statistical analysis method of the embodiment of the present invention includes the following steps:
[0072] Obtain the endogenous comment data of mobile applications, perform syntactic analysis and grammatical analysis on the comment data through natural language processing algorithms, and divide and reorganize the comment data according to the analysis results, so as to realize the conversion of unstructured comment data into structured comment data;
[0073] Segment the structured comment data, query the types of each...
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The invention discloses a mobile application endogenous big data statistic analysis method. The mobile application endogenous big data statistic analysis method includes the following steps: acquiring mobile application endogenous comment data; performing syntactic parsing and grammatical analysis on the comment data through a natural language processing algorithm, performing segmentation and recombination on the comment data according to the analysis result, and converting the non-structural comment data into the structural comment data; performing word segmentation, querying the types of segmented words in a dictionary and values corresponding to different types, and calculating an emotion value of the comment data; and counting the emotion value and the number of comment persons of comment data of hot information during a time period, calculating change curves according to the number of comment persons and the emotion value of the comment data respectively, and determining an association degree between the number of the comment persons and the emotion value of the hot information. The mobile application endogenous big data statistic analysis method can rapidly and efficiently process data from the mobile application, performs structural processing on the non-structural data, and can acquire the statistic result which has good instruction significant for application development staff.
Description
technical field [0001] The invention relates to the technical field of mobile application data analysis, in particular to a method for statistical analysis of endogenous big data in mobile applications. Background technique [0002] At present, with the rapid development of the mobile Internet, the scale of mobile applications based on mobile networking devices is gradually increasing, and at the same time, the amount of mobile application endogenous data generated from mobile applications is also growing rapidly. However, few people have analyzed these data so far. Here we propose a statistical analysis method for mobile application endogenous comment data, which can effectively process and analyze endogenous data from mobile applications. [0003] Known product solutions and published patents include: [0004] 1. A method and system for analyzing Chinese comments; [0005] The method is as follows: a user submits comment information to the website, the front desk of the...
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Login to View More IPC IPC(8): G06F17/27G06F17/30
CPCG06F16/35G06F40/211G06F40/289G06F40/30
Inventor 任伟张耀成
Owner 贵州昭阳供应链服务有限公司