Intelligent information extraction method based on big data principle

Abstract

The invention relates to the field of information extraction, in particular to an intelligent information extraction method based on a big data principle, which comprises the following steps of: acquiring big data through intelligent equipment, an enterprise online system, an enterprise offline system, a social network or an internet platform and the like; extracting and integrating the acquired widely heterogeneous data sources through a data extraction and integration tool; performing data storage on the associated and aggregated data by using a storage tool through adopting a uniformly defined structure; performing data analysis on the stored data by utilizing a data analysis technology; and displaying an analysis result to a terminal user through a visualization technology or a man-machine interaction technology. The invention provides an intelligent information extraction method with high retrieval accuracy.

Description

technical field [0001] The invention relates to the field of information extraction, in particular to an intelligent information extraction method based on the principle of big data. Background technique [0002] Big data refers to a collection of data that cannot be captured, managed, and processed by conventional software tools within a certain period of time. It is a massive, high-growth rate that requires a new processing model to have stronger decision-making power, insight and discovery, and process optimization capabilities. And diversified information assets, the strategic significance of big data technology is not to master huge data information, but to professionally process these meaningful data. In other words, if big data is compared to an industry, then the key to achieving profitability in this industry lies in improving the "processing capability" of data and realizing the "value-added" of data through "processing". From a technical point of view, The relati...

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Problems solved by technology

[0003] With the advent of the era of big data, data has become an important resource in business activities. Scientific decision-making and refined management based on data will become an inevitable trend in the development of modern business management. In the field of e-commerce, massive product review data contains Huge social value and commercial value. Analyzing and mining product feature data in massive product reviews can provide potential consumers with the basis for purchasing decision-making at the granular level of product attributes, and provide companies with product design basis and competitive intelligence of other companies. It can effectively respond to the needs of users and the improvement direction of products, and improve the competitiveness of enterprises, but the retrieval accuracy of evaluation data in existing technologies is low

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