Method and device for news presentation facing events
A news and event technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problems of high manual editing costs, lack of correlation between news events and other issues, and achieve the effect of reducing costs.
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Embodiment 1
[0053] figure 1 The flow chart of the event-oriented news presentation method provided by Embodiment 1 of the present invention, such as figure 1 As shown, the method includes the following steps:
[0054] Step 101: Obtain news data from a news source.
[0055] In this step, the interface provided by the news platform can be used to obtain news data at a certain time interval. The news platform here can be a news channel of any website, or news data newly collected by a search engine.
[0056] Step 102: Clustering the acquired news data based on content to obtain news events corresponding to each news cluster.
[0057] The content-based clustering adopted in this step can adopt the singular value decomposition method of the news-keyword matrix, and the specific clustering process can include:
[0058] First, after word segmentation and removal of stop words for the news summary in the obtained news data, keywords are extracted according to the TF-IDF of each word to form th...
Embodiment 2
[0077] figure 2 The structure diagram of the event-oriented news presentation device provided by Embodiment 2 of the present invention, such as figure 2 As shown, the device includes: a news acquisition unit 201 , a news clustering unit 202 , a relationship determination unit 203 and a news presentation unit 204 .
[0078] First, the news acquisition unit 201 acquires news data from news sources. Specifically, the interface provided by the news platform can be used to acquire news data at a certain time interval. The news platform here can be a news channel of any website, or it can be newly collected by a search engine. news data.
[0079] The news clustering unit 202 clusters the acquired news data based on content to obtain news events corresponding to each news cluster. Specific implementation: Extract keywords from the news abstracts of each news in the obtained news data to form the feature vector of each news; after the feature vectors of each news are composed into...
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