Z-Blog Application Center > PHP plug-in >Baidu AI Intelligent Analysis - Classification - Label - Abstract

Baidu AI Intelligent Analysis - Classification - Label - Abstract

  • ID : mo_BaiDuAI
  • edition : 2.1.0
  • author : Sleeping in the desert ( Author website ) Contact author
  • Official website : https://www.mijupai.com/zbpplugin/15437.html
  • system requirements : Z-BlogPHP 1.7.0 Tenet
  • Update Date : 2022-11-25 09:21:38   Long time no update
  • amount of downloads : one thousand three hundred and thirty-four
  • Scoring : The average score of 17 people voting is 9.47/10
  • PHP version : 5.4 and higher
  • size : 76KB

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After sales description:

Only plug-in after-sales service, not teaching
It is recommended to refer to Baidu's official tutorial: https://ai.baidu.com/ai-doc/NLP/4k6z5cykb
Complete Step 1 to obtain the API KEY and Secret KEY and fill them in the plug-in settings


Plug in function description:

1. The plug-in calls Baidu Intelligent Cloud ->Natural Language Processing API function

2. The main function of the plug-in is to obtain the suggested classification, label and summary through Baidu API according to the article title and body

2.1. If you do not know the classification properties of articles, how to select appropriate tags, and how to obtain appropriate summaries when operating articles daily, this plug-in will solve your problem

3. The plug-in calls Baidu Natural Language Processing API and has built-in Baidu SDK. If necessary, you can download again and overwrite Baidu Cloud files under the plug-in function

3. The plug-in simplifies the Baidu SDK and forms a class of its own. It will not conflict with the original Baidu SDK class and can be used with confidence

4. Plug in needs to use Baidu AI natural language processing application APPID, API Key, Secret Key. Please obtain them in Baidu Smart Cloud background

5. API interface calls: classification, summary, and labels default to a total of 500000 free calls,

5.1. After using the personal user quota, please change the account or upgrade to the enterprise real name

5.2. Enterprise real name account, article classification will have 500000 free times per day

5.3. The enterprise's real name account and article tag will get 50000 free times a day

5.4. The enterprise's real name account and article abstract will be obtained 50000 times a day for free

6. Please choose the appropriate real name method according to the actual situation


7. Plug in background optional use mode

8. Edit the article and obtain it manually

8.1. On the article editing page, the analysis button will appear. Click the analysis button to obtain the recommended classification, label and summary according to the classification, label and summary switches set in the background

8.2. When the mouse is placed on the generated categories and labels, the relevance of the categories and labels analyzed by Baidu AI will be displayed, with a maximum of 1

8.3. Click Suggested Classification, the classification will be automatically created and selected

8.4. Click the tag to add the tag in the tag bar

8.5. Click the summary. If the summary is empty, enter the summary directly. If the summary has content, if you select Replace after clicking, the existing summary will be replaced

9. Save the article and replace it automatically

9.1. When saving an article, you will choose whether to replace the existing content according to the classification, label, and summary switches set in the background

9.2. Classification: if the obtained classification does not exist, the classification will be automatically created and the article classification will be adjusted to the new classification

9.2.1. Automatically save the classification, and Baidu AI secondary classification will be selected by default

9.3. Label: If the article is saved without a label, input the label directly obtained from Baidu AI into the article

9.4. Abstract: If there is no abstract when saving the article, input the abstract obtained by Baidu AI directly into the article



2.1.0. Update description

New batch processing function for historical unlabeled articles


2.0.5. Update description

Repair a BUG


2.0.4. Update description

Update a bug that is empty when the tag is automatically acquired


2.0.3. Update description

Update a Baidu tag that does not know why it appears to be empty


2.0.2. Update description

1. To solve the problem that label character encoding is incorrect or labels are not displayed in some sites, add a switch that controls whether the character encoding output from the label is converted. Please turn it on or off according to the actual situation


2.0.1. Update description

1. Add a judgment. If Baidu returns a token without success, the correct error message will be output

1.1. Automatic acquisition will return results after submission

1.2. Manual acquisition will be directly displayed in the acquisition results


2.0.0. Update Instructions

1. Streamline and remove the original Baidu SDK

1.1. Now it will be self classified, and will not cause errors because multiple SDKs are enabled

2. Get support manually Click to create classification automatically

3. Automatic acquisition supports automatic creation and binding of secondary classifications

4. Remove some codes to optimize the running speed


1.1.4. Update description

1. Fix the problem that automatic tag acquisition fails to segment correctly when updating 1.1.3

2. Optimize other problems



1.1.2. Update description

1. Fixed the problem that the modified article could not be correctly+- 1 in the number of categories and tags when saving the article to automatically obtain categories and tags

2. Add optional, can specify the maximum number of labels available


1.1.1. Update description

1. Adjust the result display when an error is returned during manual acquisition, and now the result pop-up window will appear directly on the editing page, rather than just prompting the error

1.1. Please adjust the problem according to the actual error content

2. Delete an unexpected output during manual acquisition


1.1.0. Update description

1. Optimization

1.1. Handle the problem that error information cannot be returned correctly when the parameter is filled in incorrectly

2. Add

2.1. Add Auto Select Classification

2.1.1. Classification that does not exist in the system will be created by itself

2.1.2. Classification existing in the system will be directly selected (submitted to take effect)


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