Information analysis method based on big data
An information analysis and data information technology, applied in the field of big data, can solve problems such as inconvenience in finding, user decline, and cluttered web pages, and achieve the effect of avoiding cluttered web pages, avoiding user decline, and increasing enthusiasm
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Embodiment 1
[0031] S1. User publishes data: the user logs in to the corresponding big data client, compiles the information that he wants to submit for release into a copy and submits it, and waits for subsequent review;
[0032] S2. Big data information is received and transmitted to cloud storage: the big data terminal receives the copy and stores it in cloud storage;
[0033] S3. Send to the screening server: send the received copy to the screening server, and the screening server runs;
[0034] S4. Screening data information: screen through the screening server to eliminate the copywriting that the system judges to be illegal and repeated.
[0035] S5. Send to the server and save to the resource disk by category: send the qualified copywriting to the server, and the server sorts and sorts the resources according to the category, and saves them to the resource disk after sorting;
[0036] S6. The user submits a resource acquisition request: when the user needs resources, log in to the...
Embodiment 2
[0039] S1. User publishes data: the user logs in to the corresponding big data client, compiles the information that he wants to submit for release into a copy and submits it, and waits for subsequent review;
[0040] S2. Big data information is received and transmitted to cloud storage: the big data terminal receives the copy and stores it in cloud storage;
[0041] S3. Send to the screening server: send the received copy to the screening server, and the screening server runs;
[0042] S4. Screening data information: screen through the screening server to eliminate the copywriting that the system judges to be illegal and repeated.
Embodiment 3
[0044] S1. User publishes data: the user logs in to the corresponding big data client, compiles the information that he wants to submit for release into a copy and submits it, and waits for subsequent review;
[0045] S2. Big data information is received and transmitted to cloud storage: the big data terminal receives the copy and stores it in cloud storage;
[0046] S3. Send to the screening server: send the received copy to the screening server, and the screening server runs;
[0047] S4. Screening data information: screen through the screening server to eliminate the copywriting that the system judges to be illegal and repeated. After the user submits the copy again, it will enter the manual review area of big data information analysis. If it passes manual review, it will directly enter the next step. If the manual review fails, the copy will be invalidated and saved to the cloud storage. The copy that fails to pass the screening will have five chances to resubmit. If the...
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