Generated Key Phrases For Cyber Bullying

1. Generated Key Phrases For Cyber Bullying In America
2. Generated Key Phrases For Cyber Bullying Examples
3. Generated Key Phrases For Cyber Bullying In Children

Jan 16, 2008 In an earlier entry, I discussed some of the legislative challenges we faced in a series of online censorship bills introduced in Congress in 2007. So-called 'cyber-bullying' is the most recent threat to online speech to come into the public vernacular. Chang Su & Thomas J. Holt - Cyber bullying in Chinese Web Forums: An examination of nature and extent International Journal of Cyber Criminology Vol 4 Issue 1&2 January - July 2010 / July - December 2010.

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Microsoft Cognitive Services Text Analytics detects language, sentiment and more of the text you provide.

This connector is available in the following products and regions:

Service	Class	Regions
Logic Apps	Standard	All Logic Apps regions except the following: - Azure China regions
Power Automate	Standard	All Power Automate regions
Power Apps	Standard	All Power Apps regions

Contact
Name	Microsoft
URL	https://gallery.cortanaanalytics.com/MachineLearningAPI/Text-Analytics-2
Email	mlapi@microsoft.com

Connector Metadata
Publisher	Microsoft

To use this integration, you will need access to a Cognitive Services Text Analytics Account or API Key. To make a connection, provide the account or API key and select Create connection. When using the connection, the operations you do will count towards the quota set on your Cognitive Services key. When that quota is exceeded you may see errors in the connector, or your Cognitive Services account may be charged for additional requests, depending how your account is configured.

You're now ready to start using this integration.

Creating a connection

To connect your account, you will need the following information:

Name	Type	Description
Account Key	securestring	Cognitive Services Account Key
Site URL	string	Root site url (Example: https://westus.api.cognitive.microsoft.com). If not specified, site url will be defaulted to https://westus.api.cognitive.microsoft.com.

Throttling Limits

Name	Calls	Renewal Period
API calls per connection	1200	60 seconds

Actions

Detect Entities (V2)	Returns a list of known entities and general named entities ('Person', 'Location', 'Organization' etc) in a given document.
Detect Language	Returns the detected language and a numeric score between 0 and 1. Scores close to 1 indicate 100% certainty that the identified language is true. A total of 120 languages are supported.
Detect Language (V2)	Returns the detected language and a numeric score between 0 and 1 for each document. Scores close to 1 indicate 100% certainty that the identified language is true. A total of 120 languages are supported.
Detect Language [DEPRECATED]	This action has been deprecated. Please use Detect Language (V2) instead. Returns the detected language and a numeric score between 0 and 1. Scores close to 1 indicate 100% certainty that the identified language is true. A total of 120 languages are supported.
Detect Sentiment	Returns a numeric score between 0 and 1. Scores close to 1 indicate positive sentiment, while scores close to 0 indicate negative sentiment.
Detect Sentiment (V2)	Returns a numeric score between 0 and 1 for each document. Scores close to 1 indicate positive sentiment, while scores close to 0 indicate negative sentiment.
Detect Sentiment [DEPRECATED]	This action has been deprecated. Please use Detect Sentiment (V2) instead. Returns a numeric score between 0 and 1. Scores close to 1 indicate positive sentiment, while scores close to 0 indicate negative sentiment. Currently, the following languages are supported: English, Spanish, French, Portuguese.
Entities	Returns a list of known entities and general named entities ('Person', 'Location', 'Organization' etc) in a given document.
Key Phrases	Returns a list of strings denoting the key talking points in the input text.
Key Phrases (V2)	Returns a list of strings denoting the key talking points in the input text for each document.
Key Phrases [DEPRECATED]	This action has been deprecated. Please use Key Phrases (V2) instead. Returns a list of strings denoting the key talking points in the input text. Currently, the following languages are supported: English, German, Spanish and Japanese.

Detect Entities (V2)

Returns a list of known entities and general named entities ('Person', 'Location', 'Organization' etc) in a given document.

Parameters

Name	Key	Required	Type	Description
id	True	string	Unique, non-empty document identifier.
Text	text	True	string	The text to analyze.
language	string	This is the 2 letter ISO 639-1 representation of a language.For example, use 'en' for English; 'es' for Spanish etc.,

Returns

Body

EntitiesResults

Detect Language

Returns the detected language and a numeric score between 0 and 1. Scores close to 1 indicate 100% certainty that the identified language is true. A total of 120 languages are supported.

Parameters

Name	Key	Required	Type	Description
text	string	The text to analyze.

Returns

Body

LanguageResult

Generated Key Phrases For Cyber Bullying In America

Detect Language (V2)

Returns the detected language and a numeric score between 0 and 1 for each document. Scores close to 1 indicate 100% certainty that the identified language is true. A total of 120 languages are supported.

Parameters

Name	Key	Required	Type	Description
id	True	string	Unique, non-empty document identifier.
Text	text	True	string	The text to analyze.

Returns

Detect Language [DEPRECATED]

This action has been deprecated. Please use Detect Language (V2) instead.

Returns the detected language and a numeric score between 0 and 1. Scores close to 1 indicate 100% certainty that the identified language is true. A total of 120 languages are supported.

Parameters

Name	Key	Required	Type	Description
text	string	The text to analyze.
Number of languages	numberOfLanguagesToDetect	integer	The number of languages to detect. Set to 1 by default.

Returns

Detect Sentiment

Returns a numeric score between 0 and 1. Scores close to 1 indicate positive sentiment, while scores close to 0 indicate negative sentiment.

Generated Key Phrases For Cyber Bullying Examples

Parameters

Generated Key Phrases For Cyber Bullying In Children

Name	Key	Required	Type	Description
text	string	The text to analyze.
Language	language	string	This is the 2 letter ISO 639-1 representation of a language.For example, use 'en' for English; 'es' for Spanish etc.,

Returns

Detect Sentiment (V2)

Returns a numeric score between 0 and 1 for each document. Scores close to 1 indicate positive sentiment, while scores close to 0 indicate negative sentiment.

Parameters

Name	Key	Required	Type	Description
id	True	string	Unique, non-empty document identifier.
Text	text	True	string	The text to analyze.
language	string	This is the 2 letter ISO 639-1 representation of a language.For example, use 'en' for English; 'es' for Spanish etc.,

Returns

Body

SentimentResults

Detect Sentiment [DEPRECATED]

This action has been deprecated. Please use Detect Sentiment (V2) instead.

Returns a numeric score between 0 and 1. Scores close to 1 indicate positive sentiment, while scores close to 0 indicate negative sentiment. Currently, the following languages are supported: English, Spanish, French, Portuguese.

Parameters

Name	Key	Required	Type	Description
text	string	The text to analyze.
Language	language	string	This is the 2 letter ISO 639-1 representation of a language.For example, use 'en' for English; 'es' for Spanish etc.,

Returns

Entities

Returns a list of known entities and general named entities ('Person', 'Location', 'Organization' etc) in a given document.

Parameters

Name	Key	Required	Type	Description
text	string	The text to analyze.
Language	language	string	This is the 2 letter ISO 639-1 representation of a language.For example, use 'en' for English; 'es' for Spanish etc.,

Returns

Key Phrases

Returns a list of strings denoting the key talking points in the input text.

Parameters

Name	Key	Required	Type	Description
text	string	The text to analyze.
Language	language	string	This is the 2 letter ISO 639-1 representation of a language.For example, use 'en' for English; 'es' for Spanish etc.,

Returns

Key Phrases (V2)

Returns a list of strings denoting the key talking points in the input text for each document.

Parameters

Name	Key	Required	Type	Description
id	True	string	Unique, non-empty document identifier.
Text	text	True	string	The text to analyze.
language	string	This is the 2 letter ISO 639-1 representation of a language.For example, use 'en' for English; 'es' for Spanish etc.,

Returns

Body

KeyPhraseResults

Key Phrases [DEPRECATED]

This action has been deprecated. Please use Key Phrases (V2) instead.

Returns a list of strings denoting the key talking points in the input text. Currently, the following languages are supported: English, German, Spanish and Japanese.

Parameters

Name	Key	Required	Type	Description
text	string	The text to analyze.
Language	language	string	This is the 2 letter ISO 639-1 representation of a language.For example, use 'en' for English; 'es' for Spanish etc.,

Returns

Definitions

KeyPhraseResults

Name	Path	Type	Description
documents	array of KeyPhraseResult

EntitiesResults

Name	Path	Type	Description
documents	array of EntitiesResult

LanguageResults

Name	Path	Type	Description
documents	array of LanguageResult

SentimentResults

Name	Path	Type	Description
documents	array of SentimentResult

KeyPhraseResult

Name	Path	Type	Description
keyPhrases	array of string	A list of representative words or phrases. The number of key phrases returned is proportional to the number of words in the input document.
Id	id	string	The unique document identifier.

EntitiesResult

Name	Path	Type	Description
entities	array of object	A list of disambiguated entities with links to more information on the web (Wikipedia and Bing).
Name	entities.name	string	Name of the entity.
entities.matches	array of object	A list of matches for the entity.
items	entities.matches	object
entities.wikipediaLanguage	string	Wikipedia language of the entity.
Wikipedia Id	entities.wikipediaId	string	Wikipedia Id of the entity.
entities.wikipediaUrl	string	Wikipedia url of the entity.
Bing Id	entities.bingId	string	Bing Id of the entity.
entities.type	string	Type of the entity.
Subtype	entities.subType	string	Subtype of the entity.
id	string	The unique document identifier.

LanguageResult

Name	Path	Type	Description
id	string	The unique document identifier.
detectedLanguages	detectedLanguages	array of DetectedLanguageV2	A list of extracted languages.

SentimentResult

Name	Path	Type	Description
score	double	A decimal number between 0 and 1 denoting the sentiment of the document. A score above 0.7 usually refers to a positive document while a score below 0.3 normally has a negative connotation. Mid values refer to neutral text.
Id	id	string	The unique document identifier.

DetectedLanguageV2

Name	Path	Type	Description
name	string	The long name of a detected language (e.g. English, French).
Language Code	iso6391Name	string	A two letter representation of the detected language according to the ISO 639-1 standard (e.g. en, fr).
score	double	A confidence score between 0 and 1. Scores close to 1 indicate 100% certainty that the identified language is true.