Big data-based event aggregation analysis method and system

Abstract

The invention discloses a big data-based event aggregation analysis method, which comprises the following steps of judging whether an original text clause is a statement for describing an event, and if so, adding the statement for describing the event into an alternative event index database, querying a matched related event text from an alternative event index database according to the event time range and the event related keyword, carrying out comprehensive analysis on the related event text, and determining an analysis result, and generating a visual report according to the analysis result. The invention further provides an event aggregation analysis system based on the big data. The event aggregation analysis system comprises a judgment module, an index module, a query module, an analysis module and a visualization module. A user can obtain an event analysis report based on a full text only by simply inputting an event related word and event time; a visual event analysis report based on the dimensions of event development situation, event mainstream viewpoints, event key themes and the like is provided, and a user can 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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