A digital resource hotspot generation method and device
A technology of digital resources and hotspots, which is applied in the fields of electronic digital data processing, special data processing applications, natural language data processing, etc., can solve problems such as poor technical effect and strong parameter dependence, and achieve accurate hotspots, improve precision, and weaken hotspots The effect of the dependence on the number and empirical parameters
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Embodiment 1
[0057] This embodiment provides a method for generating hot spots in digital resources, which is used to automatically generate hot spots in several digital resources, such as automatically discovering hot news in digital newspapers and periodicals. The flow chart of the method is as follows figure 1 shown, including the following steps
[0058] S1. Extract titles and texts from digital resources. Here you can extract information such as news title, text, publication time, layout, newspaper title, etc. from structured digital newspapers.
[0059] S2. Obtain a title similarity matrix and a text similarity matrix respectively.
[0060] In this step, different text preprocessing is applied to the title and content based on the synonym Cilin, and a title similarity matrix and a text similarity matrix are respectively obtained through similarity calculation.
[0061] Wherein, the steps of obtaining the title similarity matrix include:
[0062] First, the title of each digital re...
Embodiment 2
[0102] In this embodiment, a digital resource hotspot generation device is provided, such as figure 2 shown, including
[0103] The information extraction unit 01 is used to extract titles and texts from digital resources;
[0104] The similarity matrix acquisition unit 02 is used to acquire the title similarity matrix and the text similarity matrix respectively;
[0105] A title candidate hotspot set extraction unit 03, configured to cluster the title similarity matrix, and obtain a title candidate hotspot set according to the title similarity clustering result;
[0106] The text candidate hotspot set extraction unit 04 is used to cluster the text similarity matrix, and obtain the text candidate hotspot set according to the text similarity clustering result;
[0107] A candidate hotspot set extraction unit 05, configured to obtain a candidate hotspot set according to the title candidate hotspot set and the text candidate hotspot set.
[0108] Further, it also includes a h...
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