A big data-based event aggregation analysis method and system

Abstract

The invention discloses an event aggregation analysis method based on big data, which judges whether an original text clause is a sentence describing an event, and if so, adds the sentence describing an event to an alternative event index library; according to the event time range The key words related to the event are searched for related event texts that match from the alternative event index database; the related event texts are comprehensively analyzed to determine the analysis results; and the analysis results are generated into a visual report. It also provides an event aggregation analysis system based on big data, including a judgment module, an index module, a query module, an analysis module and a visualization module; The event analysis report; provides a visual event analysis report based on the dimensions of event development trend, event mainstream views, and event key topics, which helps users to control events more macroscopically.

Description

technical field [0001] The invention belongs to the technical field of big data, and in particular relates to a big data-based event aggregation analysis method and system. Background technique [0002] With the rapid development of big data technology and natural language processing technology, there are more and more related applications for extracting effective knowledge from unstructured text, and there are many people who have landed in actual projects and achieved good results. Analyzing event information from text is an important direction of unstructured text processing. The main idea of ​​current text event analysis is to use artificial intelligence technology to identify event-related subjects and subject relationships from text. However, the relevant artificial intelligence technology used in this way of thinking relies on the establishment of different event models and specific corpus annotations, which requires a lot of additional labor costs. Moreover, the fo...

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Problems solved by technology

However, the relevant artificial intelligence technology used in this way of thinking relies on different event model establishment and specific corpus annotation, which requires a lot of additional labor costs.

Moreover, the focus of this idea is to continuously improve the recognition rate and accuracy of the event subject and the relationship between the subject of the event and the relationship between the subject mined from each small piece of text. In this analysis method, the events extracted from the text are relatively Independent, lacking a macro analysis of events, such as the analysis of the development trend of events, the analysis of mainstream views of events in different cycles, etc., text event analysis has a broad space for development

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