Method for discovering news special events
A news and topic technology, applied in the field of news topic event discovery, can solve problems such as dependence, interpretation, and difficulty in extending traditional methods to new fields
Active Publication Date: 2019-08-23
北京百分点科技集团股份有限公司
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Problems solved by technology
However, it is often difficult for traditional keyword extraction algorithms to extract keywords that can fully summarize the news content, so that the overall effect of this method is greatly reduced
Secondly, because artificial rules are often introduced into traditional algorithms, it is difficult to extend traditional methods to new fields.
Finally, since traditional algorithms rely on text clustering algorithms, the final clustering results are heavily dependent on proper parameter selection
However, the traditional text clustering method is a black-box algorithm, so parameter selection is more difficult, and often makes it difficult to explain the final clustering results with business knowledge
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[0055] The present invention will be further described below in conjunction with the accompanying drawings. It should be noted that this embodiment is based on the technical solution, and provides detailed implementation and specific operation process, but the protection scope of the present invention is not limited to the present invention. Example.
[0056] This embodiment provides a method for discovering special news events, such as figure 1 shown, including the following steps:
[0057] S1, identifying the event topic sentence of the news article;
[0058] Due to the large differences in the content and direction of news reports, it is difficult to identify the event topic sentences of a single news article. In this embodiment, a method of identifying event topic sentences is adopted based on factors such as common news event elements, event trigger words, and positional relationships of sentences in news articles. Specifically, the event topic sentence score T of each...
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The invention discloses a method for discovering news special events. The method mainly comprises the steps that S1, carrying out event theme sentence recognition on each given news article; s2, performing event core element extraction on each given news article; and S3, judging the article similarity by using the event core element of each news article extracted in the step S2. The method provided by the invention is based on an Event Extract technology, topic tracking detection (Topic Determining Tracking), event relationship discovery and a special news increment addition technology to achieve discovery and clustering of special events of news events;. According to the method for realizing topic clustering and discovery of the news text, a user can realize high-quality topic clusteringand event discovery without providing annotation training data, providing an event type template and knowing knowledge in related fields.
Description
technical field [0001] The invention relates to the technical field of data processing, in particular to a method for discovering special news events. Background technique [0002] Natural language processing (NLP) is the field of interaction between computers and human (natural) language that computer science, artificial intelligence, and linguistics focus on. It is an important direction in the field of computer science and artificial intelligence. The research scope of natural language processing covers various theories and methods that can realize effective communication between humans and computers in natural language. The fields involved include natural semantic understanding, information retrieval, information extraction, text classification, text clustering, automatic question answering system etc. [0003] Topic event discovery refers to the technology of extracting and summarizing topics from a given news collection and classifying news according to the extracted ...
Claims
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Login to View More IPC IPC(8): G06F16/35G06F17/27
CPCG06F16/353G06F40/205G06F40/289
Inventor高体伟苏海波王然孙伟王勋刘钰
Owner北京百分点科技集团股份有限公司