Method of aggregating subject contents based on content tags
A content and labeling technology, applied in the field of information technology content processing, can solve problems such as duplication and overload of information resources, affecting users' access to and utilization of information resources, uneven content of articles, etc., and achieve high-quality results
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Embodiment 1
[0033] refer to figure 1 , a method for aggregating subject content based on content tags, comprising the following steps:
[0034] S1. Using ZAKER’s entire network data information to collect Baidu data information, WeChat data information, and Weibo information according to keywords, which are collectively referred to as “internal and external network content information” in this patent research, and carry out label aggregation subject content based on the above content information For process processing, the "internal and external network content information" is stored in a high-throughput distributed publish-subscribe message storage system, which is used to obtain content information conveniently during the patent paradigm process, and then execute S2.
[0035] S2. Based on the "internal and external network content information" stored in the distributed publish-subscribe message system, corresponding consumers are created in the process of tag aggregation topic content t...
Embodiment 2
[0037] refer to figure 2 , a method for aggregating subject content based on content tags, comprising the following steps:
[0038] S3: Judging whether the article meets the specified basic conditions, if it meets the conditions, execute S4 to judge whether the article meets the specified basic conditions, then record the source of the article, label the source of the article, and ZAKER according to the source frequency of the article The whole network data information, WeChat data information and Weibo information are graded to determine where the articles that meet the basic conditions appear most frequently. In the future, we can focus on obtaining articles from this source of content, preset the basic conditions, and analyze the articles. Review and compare the review results with the preset values, mark the articles that do not meet the requirements, and match the follow-up content with the articles that do not meet the requirements. If you find duplicates, you can direc...
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