Social network data collecting and analyzing system

Abstract

The invention discloses a social network data collecting and analyzing system. According to the detailed realization process, a data analyzing module performs word segmentation and semantic analysis on post content set by a user, a CRM system is triggered for automatic or manual response, then with an adjective being the reference position, sub-objects in front and rear of the adjective are recognized, and the extracted results (all sub-objects) of a piece of data are stored in a database in one-record mode. When the sub-objects in the database are accumulated to a certain degree, a text classification module and a cluster are started, synonyms are rejected, and the sub-objects are pushed to a product designing department for product improvement. Finally, social network data are collected, analyzed and processed, and service processing of enterprise application systems including ERP and others is triggered. Compared with the prior art, the social network data collecting and analyzing system guarantees the accuracy and effectiveness of system data analysis, achieves multiplexing of an internet data analysis system, lowers the cost of big data analysis for enterprises and is high in practicability.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to a highly practical social network data collection and analysis system. Background technique [0002] In the context of the widespread use of mobile Internet and social networks, after enterprise products are delivered to users, users' evaluations of products are often published on social networks and the public Internet. These evaluation information form a chain transmission effect with the help of the Internet, and its influence is unprecedented. It has become more and more a consumption habit for consumers to refer to Internet evaluations before purchasing. Product evaluation information, through timely response, clarifies user evaluation, improves customer relationship, thus forms word-of-mouth response, helps enterprises expand sales, and reduces marketing costs. On the other hand, based on user evaluation, it can help companies improve product design, prevent pr...

AI Technical Summary

Problems solved by technology

Traditional enterprise application software (such as ERP, CRM, PLM) does not have big data analysis and processing capabilities, and cannot meet the needs of enterprises to integrate Internet big data analysis results for enterprise operation optimization; on the other hand, enterprise application systems with ERP as the core It has become the information center of the daily operation of the enterprise, and the business process execution and optimization of the enterprise are supported by traditional enterprise applications

In this context, enterprises can neither abandon the traditional enterprise management application system, but ...

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