Name Extraction

Closed - This job posting has been filled and work has been completed.
Writing Other - Writing Posted 2 years ago

Hourly Job

Details

I have a few thousand twitter accounts with description, and prepopulated suggested names.  The names need to be curated, verified, and extended.  

You will need to read through the short 140 character description, and determine if names are real and actually related to the entity in question.

A name is related to an entity if and only if there is a direct link between the twitter handle and that name.  For example.  In my description if I say I love the Yankees, I am not related to "Yankees" but if the twitter ID refers to Joe Girardi, the manager of the Yankees, then the names relating to that twitter handle would be both "Joe Girardi" and "Yankees".

Example:


    "AshlandLibrary": [
        "Ashland Public Library Staff",
        "Ashland Library"
    ],


    "AshlandLibrary": {
        "description": "Hosted by the Ashland Public Library Staff in Ashland, OH, USA",
        "name": "Deanna Lee Bentley",
        "screen_name": "AshlandLibrary",
        "url": "http://t.co/FmDu3y9VaR"
    },


The expected result would be:

    "AshlandLibrary": [
        "Ashland Public Library",
        "Deanna Lee Bentley",
        "Ashland Library"
    ],

What is the resultant for this input?

    "AshlandLock": [
        "Ashland Lock",
        "Anne Gruber",
        "Fire Code Compliances",
        "Life Safety"
    ],

    "AshlandLock": {
        "description": "Service & hardware provider of locks, doors, frames & door hardware. Our specialty ADA, Life Safety, Building and Fire Code Compliances.   info@ashlandlock.com",
        "name": "Anne Gruber",
        "screen_name": "AshlandLock",
        "url": "http://t.co/4FdUNzDYGw"
    },


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