Aylien – Sentiment Analysis – Basic

Requires: Python, Pip




mh2@ws-mh2-16 /projects/aylien

$ pip install httpretty

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mh2@ws-mh2-16 /projects/aylien

$ pip install unittest2

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mh2@ws-mh2-16 /projects/aylien

$ pip install nose

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mh2@ws-mh2-16 /projects/aylien

$ pip install httplib2

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mh2@ws-mh2-16 /projects/aylien

$ pip install –upgrade aylien-apiclient

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~~~~~~ test1.py ~~~~~~~~~

#!/usr/bin/env python



test1.py: Demonstrates calling the remote sentiment analysis api with

simple text and prints the result. Language support is included for a

select few Western European languages.

Something like this could potentially be used in an adhoc text collection

scenario, such as an interview.

Quote re sentiment: “whether the tone is positive, neutral or negative,

and whether the text is subjective (meaning it’s reflecting the author’s

opinion) or objective (meaning it’s expressing a fact)”

Source: http://docs.aylien.com/docs/sentiment

Aylien: 4th Floor, Equity House, Upper Ormand Quay, Dublin 7, Ireland



import json

from aylienapiclient import textapi


__author__ = “Matthew Hogan”

__status__ = “Demo”


sentiment = {

‘mode’ : ‘tweet’,

‘text’ : ‘I had hoped that you didn\’t say No, and you said Yes.’,

‘language’ : ‘en’



client = textapi.Client(“……”, “………………………………………”)

result = client.Sentiment(sentiment)


print json.dumps(result, indent=4, sort_keys=True)


~~~~~~ test1.py ~~~~~~~~~

Running in Visual Studio Code with a Python extension.


If using Maven:-







The call is simple:-


SentimentParams params = SentimentParams.newBuilder().setMode(“tweet”).setText(text).build();

TextAPIClient client = new TextAPIClient(“3af81c77”, “97d6013e54853be7bea03f99506f6194”);