Event sentence extraction method for financial field

Abstract

The invention relates to an event sentence extraction method for a financial field. The method comprises the following steps of 1) performing company name identification by utilizing internet search and listed company name information; 2) by comprehensively considering characteristics in four aspects of statement positions, company name information, field verb information, and statement and title similarity, constructing weight expression; and 3) extracting financial event sentences from a sentence set. The invention provides an internet information-based company name identification method; few rules are used, identification is not limited by training corpora, preparations can be made fully for event sentence extraction and event element identification, and the problems of frequent use of abbreviations and serious colloquial phenomenon during company name identification are solved; and sentences are subjected to comprehensive weight calculation in the four aspects of the company name information, the field verb information, the statement and title similarity and the statement positions, and finally the financial event sentences are selected out, so that the financial event sentences can be efficiently identified and extracted.

Description

technical field [0001] The invention belongs to the technical field of Chinese information processing, and in particular relates to an event sentence extraction method in the financial field. Background technique [0002] As an important branch of information extraction, event extraction is to extract event information of interest to users from unstructured text, and store it in a structured form for subsequent analysis and application. It has a wide range of applications in automatic summarization, automatic question answering, information retrieval and other fields. [0003] With the continuous development of the domestic market economy, especially the stock market economy, it is becoming more and more sensitive to financial events. Researching event extraction for the financial field is of great significance for in-depth analysis of text information in the financial field and providing support for investment decisions. At present, in the face of massive Internet financi...

AI Technical Summary

Problems solved by technology

The method for detecting event sentences in the prior art is mainly based on trigger word detection, and its defect is that it relies heavily on vocabulary, which affects the effect; in addition, there is also a feature-based method for event sentence recognition, and its defect is that the use of domain words is not direct and does not full

[0006] Due to the above reasons, the efficiency of the event sentence extraction method in the financial field of the prior art is not high, and the effect is not good, and it is urgent to develop a new method

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