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Online news topic detection method

A topic detection and news technology, which is applied in network data retrieval, other database retrieval, unstructured text data retrieval, etc. Effect

Active Publication Date: 2015-06-17
SUN YAT SEN UNIV
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Problems solved by technology

However, such processing will bring about a problem: in the dynamic clustering stage, since there is no other text as a reference during feature extraction, the text processing is too simple, and the centroid of each topic will be generated due to the different order of text reading. A large difference affects the clustering effect
At the same time, the Single-Pass algorithm divides the topic of the text according to a single threshold specified in advance in the process of text and topic aggregation, which can easily lead to topic drift

Method used

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Embodiment 1

[0054] (1) Case analysis corpus

[0055] The news reports on food safety collected from major online news media were collected from November 2012 to January 2013. The corpus consists of 1034 news articles about food safety, with a total of 11 topics. These topics are gutter oil, golden rice, Jiugui wine, instant chicken, lean meat powder, Mead Johnson milk powder, poisonous bean sprouts, bright milk, gelatin shark's fin, cancer caused by cooking oil, and tap water safety. The number and time distribution of news articles contained in each topic are shown in Table 1 below.

[0056] Table 1 Food safety topic corpus

[0057] Topic ID

Food Safety Topics

number of news articles

Report time

T1

Waste oil

98

2012.09～2012.10

T2

golden rice

68

2012.09～2012.12

[0058] T3

Alcohol

99

2012.11～2012.12

T4

instant chicken

161

2012.03～2012.12

T5

Clenbuterol

80

2012.0...

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Abstract

The invention discloses an online news topic detection method and belongs to the field of computer science and technology. The more efficient topic detection method is raised up for web texts with the requirement for topic detection in the internet. A cluster buffer zone is established to initially cluster reached texts of a certain number or within a certain period through an X-means algorithm, a dual-threshold (a topic gathering threshold value and a topic mass center updating threshold value) thought is introduced, topic shift is effectively controlled, and the clustering effect is improved. The effects achieved through the method are superior to those of a classic Single-Pass algorithm at all evaluation indexes, and topics with the topic detection requirement are more accurately identified.

Description

technical field [0001] The invention relates to the field of computer science and technology, and more specifically, to a method for detecting online topics of network news. Background technique [0002] Topic Detection (TD) is one of the five basic research tasks in Topic Detection and Tracking (TDT), which mainly detects topics that are unknown in advance in the detection and organization system. The TDT (Topic Detection and Tracking) project is a project funded by the US Defense Advanced Research Projects Agency (DARPA) and jointly participated by the University of Massachusetts, Carnegie Mellon University and Dragon Systems. This project is mainly to automate the analysis of continuous news media information, detect the topics in it, and track the detected topics. The research on topic detection is carried out under the background of TDT (Topic Detection and Tracking) project. For the task of topic detection, the Single-Pass algorithm is widely used. Single-Pass is an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/35G06F16/95
Inventor 常会友路永和韦婷婷胡勇军
Owner SUN YAT SEN UNIV
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