An internet product research system based on data mining
An Internet product and data mining technology, applied in network data retrieval, network data indexing, electronic digital data processing, etc., can solve the problems of lagging market changes, misguided decision-making by enterprises and businesses, and restricted research sample size, etc., to reduce costs. , improve efficiency, improve the effect of subdivision quality
Inactive Publication Date: 2017-02-15
NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT +1
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Problems solved by technology
[0003] However, traditional product research often uses means such as expert interviews and questionnaires, which are often limited to the limitations of human and financial resources of the company, and are limited by the size of the research sample, and often cannot fully and accurately reflect the overall picture of the market. Misleading decisions
What's more serious is that no matter how accurate product research is, it takes a long time to collect and organize data, which seriously lags behind market changes, making it impossible for companies to make correct adjustment decisions in a timely manner according to market changes
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[0037] Such as figure 1 As shown, the present invention includes: an information collection module, an information preprocessing module, a product profile analysis module, a sentiment analysis module and a data display module. The embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0038] 1. The implementation steps of the information collection module are as follows (such as figure 2 shown):
[0039] (1) Product initial data input: Before collecting data, in order to improve the accuracy of the research and better respond to the research needs, input the initial information such as the product name and product attributes to be researched, and the corresponding seed data source in advance;
[0040] (2) After entering the initial information, the system starts the following three collectors:
[0041] (2-1) Product attribute information collection set, based on the product name, product attribute list ...
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An Internet product research system based on data mining is composed of an information collecting module, an information pre-processing module, a product general picture analysis module, a sentiment analysis module, a user behavior analysis module and a data showing module. All kinds of information related to a product on the Internet are collected automatically through the system and are pre-processed, comprehensive analysis is carried out through a data mining and natural language processing technology, and therefore the analysis results of the general picture analysis related to the product, the market public praise analysis of the different functions of the product, the contrastive analysis of different products, user group analysis and other different aspects are formed fast, and fast and solid supports are provided for product analysis and marketing decisions. Internet information resource advantages are fully utilized, the product can be researched according to user needs, manpower and material resources needed by the research can be saved, and market trends can be reflected and tracked in time.
Description
technical field [0001] The invention relates to a data mining-based Internet product research system and method, belonging to the fields of data mining, text information processing and the Internet. Background technique [0002] With the continuous development of the e-commerce market, there are more and more product review information and evaluations on authoritative portal websites on the Internet. This information has great reference significance for enterprises to improve product quality, formulate marketing strategies and enterprise market production strategies. [0003] However, traditional product research often uses means such as expert interviews and questionnaires, which are often limited to the limitations of human and financial resources of the company, and are limited by the size of the research sample, and often cannot fully and accurately reflect the overall picture of the market. Decisions lead to misleading. What's more serious is that no matter how accura...
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IPC IPC(8): G06F17/30
CPCG06F16/951
Inventor 刘春阳程工庞琳张旭巢文涵周庆李舟军
Owner NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT