Generated Key Phrases For Cyber Bullying
- Generated Key Phrases For Cyber Bullying In Adults
- Generated Key Phrases For Cyber Bullying In Children
The Key Phrase Extraction API evaluates unstructured text, and for each JSON document, returns a list of key phrases.
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- Nov 23, 2017 Cyber Bullying Essay Example. Cyberbullying entails the use of chat rooms, websites, instant messaging, and e-mail for deliberately intimidating and antagonizing others. It is variously referred to as online bullying or electronic bullying. Here is a cyber bullying essay sample. Is Cyber bullying worse than physical bullying?
- Random Phrases and Idioms. Welcome to the Random Phrase and Idiom Generator. There will be times when you may need more than a random word for what you want to.
- With many teenagers using instant messaging, blogs and other websites to keep in contact, the threat of cyberbullying is rising, say experts.: How they are honoring the teen who took his own life after a tragic case of cyberbullying.
A collection of 65+ Anti Bullying Slogans for Kids. If you have kids then you should motivate them to speak up & stand against Bullying. If not stopped, bullying can have a negative affect on their personality. You can use these slogans to motivate your kids as they are catchy and easy to remember. Phrases.com: A crowdsourced multilingual online dictionary for common phrases, idioms and sayings that can be easily navigated, pronounced, and translated to many languages ©2020 STANDS4 LLC. Mar 20, 2019 125 Great Anti Cyber Bullying Slogans Mar 20, 2019 Sep 9, 2013 by Brandon Gaille Cyber bullying is considered a new age of bullying. 81% of today’s youth admit that it is easier to get away with bullying online than in person.
This capability is useful if you need to quickly identify the main points in a collection of documents. For example, given input text 'The food was delicious and there were wonderful staff', the service returns the main talking points: 'food' and 'wonderful staff'.
For more information, see Supported languages.
Tip
Text Analytics also provides a Linux-based Docker container image for key phrase extraction, so you can install and run the Text Analytics container close to your data.
Preparation
Key phrase extraction works best when you give it bigger amounts of text to work on. This is opposite from sentiment analysis, which performs better on smaller amounts of text. To get the best results from both operations, consider restructuring the inputs accordingly.
You must have JSON documents in this format: ID, text, language
Document size must be 5,120 or fewer characters per document, and you can have up to 1,000 items (IDs) per collection. The collection is submitted in the body of the request. The following example is an illustration of content you might submit for key phrase extraction.
Step 1: Structure the request
For information about request definition, see How to call the Text Analytics API. The following points are restated for convenience:
Create a POST request. Review the API documentation for this request: Key Phrases API.
Set the HTTP endpoint for key phrase extraction by using either a Text Analytics resource on Azure or an instantiated Text Analytics container. You must include
/text/analytics/v2.1/keyPhrasesin the URL. For example:https://<your-custom-subdomain>.api.cognitiveservices.azure.com/text/analytics/v2.1/keyPhrases.Set a request header to include the access key for Text Analytics operations.
In the request body, provide the JSON documents collection you prepared for this analysis.
Tip
Use Postman or open the API testing console in the documentation to structure a request and POST it to the service.
Step 2: Post the request
Analysis is performed upon receipt of the request. For information about the size and number of requests you can send per minute or per second, see the data limits section in the overview .
Recall that the service is stateless. No data is stored in your account. Results are returned immediately in the response.
Step 3: View results
All POST requests return a JSON formatted response with the IDs and detected properties. The order of the returned key phrases is determined internally, by the model.
Jul 09, 2019 “Private.key” can be replaced with any key file title you like. SSL/TLS Manager a) The simplest way to get the appropriate key used during SSL installation is reflected in the below picture: b) Alternatively, you can find the Private key in the Private keys section of the SSL/TLS Manager, which can be located in the cPanel main menu. You will see all the Private Keys ever generated in your cPanel. Windows 10 generate csr private key location. You can get a list of the private keys you have as a result of certificate enrollment requests (such as you made with certreq) by running certmgr.msc for the computer account (or simply certlm.msc for Windows 2012R1 or Windows 8 onwards). The keys are in the Certificate Enrollment Requests folder. Generate CSR & private key In MMC, expand Certificates (Local Computer) and then Personal. Right-click Certificates, and then go to the following menus: All Tasks Advanced Operations. Click Active Directory Enrollment Policy. From Template, click Web Server. Ensure the Request. If you have not yet installed your certificate, then the most likely location of your private key is on the computer or server where you generated the CSR. When you generated that CSR you would have been asked by the server to save two files—for OpenSSL, you can run the command openssl version –a to find the folder where your key files would be saved ( /usr/local/ssl by default). If you plan to export the certificate, for example, for the installation on another instance, it is required to check the Make private key exportable option: Now we can click Ok and move further. The last screen of the Certificate Enrollment wizard requires us to specify the name of the file the CSR code will be saved into and its location in the file system.
Output is returned immediately. You can stream the results to an application that accepts JSON or save the output to a file on the local system, and then import it into an application that allows you to sort, search, and manipulate the data.
An example of the output for key phrase extraction is shown here:
As noted, the analyzer finds and discards non-essential words, and it keeps single terms or phrases that appear to be the subject or object of a sentence.
Summary
In this article, you learned concepts and workflow for key phrase extraction by using Text Analytics in Cognitive Services. In summary:
- Key phrase extraction API is available for selected languages.
- JSON documents in the request body include an ID, text, and language code.
- POST request is to a
/keyphrasesendpoint, using a personalized access key and an endpoint that is valid for your subscription. - Response output, which consists of key words and phrases for each document ID, can be streamed to any app that accepts JSON, including Microsoft Office Excel and Power BI, to name a few.
See also
Generated Key Phrases For Cyber Bullying In Adults
Text Analytics overviewFrequently asked questions (FAQ)
Text Analytics product page