Hot-spot event information processing method and apparatus

Abstract

Embodiments of the present invention disclose a hot-spot event information processing method. The method comprises: performing text segmentation processing on a plurality of text information to obtaina word segmentation contained in each text information; according to statistical data of each word segmentation obtained by the processing, extracting at least one keyword from the word segmentationcontained in each text information; according to the network traffic data of the text information corresponding to each keyword, obtaining a traffic heat value of each keyword; determining the keywordwhose traffic heat value is higher than the first preset threshold as a hot word; and according to the degree of correlation between various hot words, performing hot word clustering on the determined hot words to obtain at least one event hot word cluster. The embodiments of the present invention also disclose a hot-spot event information processing apparatus. According to the technical scheme of the present invention, hot-spot events in the network can be timely and accurately grasped.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to a hot event information processing method and device. Background technique [0002] Hot events refer to events that generate a certain degree of social communication and influence within a certain period of time. The themes of these events can generally be represented by several strongly related words. These words are called hot words, or hot words for short. In order to make the network services provided have higher immediacy and timeliness, it has become a very important subject to grasp current hot events in the network as soon as possible. [0003] In the prior art, the members of the network analysis team usually review and analyze tens of thousands of network articles to obtain hotspot events through manual browsing, which is very inefficient and easily affected by subjective factors, resulting in a lack of understanding of hotspot events. Timing and accuracy ...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the members of the network analysis team usually review and analyze tens of thousands of network articles to obtain hotspot events through manual browsing, which is very inefficient and easily affected by subjective factors, resulting in a lack of understanding of hotspot events. Timing and accuracy make a big difference

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