Internet product research system based on data mining

Abstract

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 reviews and authoritative portal websites on the Internet. This information has great reference significance for companies to improve product quality, formulate marketing strategies and corporate market production strategies. [0003] However, methods such as expert interviews and questionnaires often used in traditional product research are often limited by the human and financial constraints of the company. Due to the size of the research sample, they often cannot fully and accurately reflect the full picture of the market. Decisions cause misguided. What's more serious is that no matter how accurate the product research is, it takes a long time to collect and orga...

AI Technical Summary

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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