Named Entity Recognition

Lior Armiev | October 29, 2018 | Cognitive Services | No Comments

Hello World,

Azure is puling up the curtains on another preview feature in Cognitive Services Text Analytics API – Named Entity Recognition

What it is?

You give the API free text and it will identify entities like people, locations, dates, numbers and more and bring the location,type and link to the information. very helpful and a big addition to the already existing features of the service

Text Analytics already can do:

In other words its a sort of LUIS but the intents are pre trained with types and sub types (in a table in the end of the article there is an example for the types that can be extracted.

Lior is working with Microsofts Cognitive Service every day from 9am

{
   "Documents": [   {
      "Id": "1",
      "Entities":       [
                  {
            "Name": "Lior",
            "Matches": [            {
               "Text": "Lior",
               "Offset": 0,
               "Length": 4
            }],
            "Type": "Person"
         },
                  {
            "Name": "Microsoft",
            "Matches": [            {
               "Text": "Microsoft's",
               "Offset": 21,
               "Length": 11
            }],
            "WikipediaLanguage": "en",
            "WikipediaId": "Microsoft",
            "WikipediaUrl": "https://en.wikipedia.org/wiki/Microsoft",
            "BingId": "a093e9b9-90f5-a3d5-c4b8-5855e1b01f85"
         },
                  {
            "Name": "Artificial intelligence",
            "Matches": [            {
               "Text": "AI",
               "Offset": 33,
               "Length": 2
            }],
            "WikipediaLanguage": "en",
            "WikipediaId": "Artificial intelligence",
            "WikipediaUrl": "https://en.wikipedia.org/wiki/Artificial_intelligence",
            "BingId": "9d99fb44-edac-0e03-1579-19d8d8591a49"
         },
                  {
            "Name": "every day",
            "Matches": [            {
               "Text": "every day",
               "Offset": 36,
               "Length": 9
            }],
            "Type": "DateTime",
            "SubType": "Set"
         },
                  {
            "Name": "9am",
            "Matches": [            {
               "Text": "9am",
               "Offset": 51,
               "Length": 3
            }],
            "Type": "DateTime",
            "SubType": "Time"
         }
      ]
   }],
   "Errors": []
}

What do we get?

First detect that Lior is a Person – ☑ checked

Find Microsoft and mark it as an organization and give me the wiki about the company- ☑ checked

Finds the work AI trying to bring some information about that – ☑ checked

Extract date and time and identity it in the text – Very cool – ☑ checked

Conclusion:

Text Analytics is making progress and now include more features that help analyze any kind of text even in other languages

Cool

Test Test Test Click on the API test button and move to the Microsoft's API portal in order to test all of the new stuff or just read the original documentation.

Supported Types for Named Entity Recognition:

Type	SubType	Example
Person	N/A*	"Jeff", "Ashish Makadia"
Location	N/A*	"Redmond, Washington", "Paris"
Organization	N/A*	"Microsoft"
Quantity	Number	"6", "six"
Quantity	Percentage	"50%", "fifty percent"
Quantity	Ordinal	"2nd", "second"
Quantity	NumberRange	"4 to 8"
Quantity	Age	"90 days old", "30 years old"
Quantity	Currency	"$10.99"
Quantity	Dimension	"10 miles", "40 cm"
Quantity	Temperature	"32 degrees"
DateTime	N/A*	"6:30PM February 4, 2012"
DateTime	Date	"May 2nd, 2017", "05/02/2017"
DateTime	Time	"8am", "8:00"
DateTime	DateRange	"May 2nd to May 5th"
DateTime	TimeRange	"6pm to 7pm"
DateTime	Duration	"1 minute and 45 seconds"
DateTime	Set	"every Tuesday"
DateTime	TimeZone	“UTC-7”, “CST”
URL	N/A*	"http://www.bing.com"
Email	N/A*	"support@microsoft.com"

About The Author

Lior

Cloud Monitoring specialist, with more than 10 years of experience in providing brode wide monitoring solutions for SMP and Enterprises. I work at CloudValley, Microsoft's partner of the year 2015&2017 and largest MSP in Israel.

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Lior

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