##Organization Name Recogntion from Tweets

This repository contains python code which detects an Organization's name from a list of tweets extracted using the Algorithmia API .

The main executable file is ner_main.py. A python dictionary is input to the function pull_tweets(), with the dictionary keys set as:

{
"query": SearchKeyword/OrganizationName"numTweets": NumberofTweets"auth": AlgorithmiaAPIauthorizationToken"app_key": TwitterApplicationKey"app_secret": TwitterApplicationSecretToken"oauth_token": TwitterApplicationAuthorizationToken"oauth_token_secret": TwitterApplicationAuthorizationSecretToken
}

The python file can be executed from the terminal via

python ner_main.py

Test Case

for input query:

input= {
"query": "Google",
"numTweets": "700",
"auth": {
"app_key": 'your_consumer_key',
"app_secret": 'your_consumer_secret_key',
"oauth_token": 'your_access_token',
"oauth_token_secret": 'your_access_token_secret'
}
}

The following output is obtained:

[{
'ORGANIZATION':Counter( { 'Nations':6,
'First':6,
'Services':2,
'TV':2,
'Oils':1,
'Soup':1,
'Zenit':1,
'Northwest':1,
'Philip':1,
} )
}
]