indicoio-python

A wrapper for a series of APIs made by Indico Data Solutions.

Check out the main site on:

http://indico.io

Check out our documentation on:

http://indicoiopython.s3-website-us-west-2.amazonaws.com/indicoio.html

Our APIs are totally free to use, and ready to be used in your application. No data or training required.

Current APIs

Right now this wrapper supports the following apps:

• Positive/Negative Sentiment Analysis
• Political Sentiment Analysis
• Image Feature Extraction
• Facial Emotion Recognition
• Facial Feature Extraction
• Language Detection

Examples

>>> import numpy as np

>>> from indicoio import political, sentiment, fer, facial_features, language

>>> political("Guns don't kill people. People kill people.")
{u'Libertarian': 0.47740164630834825, u'Green': 0.08454409540443657, u'Liberal': 0.16617097211030055, u'Conservative': 0.2718832861769146}

>>> sentiment('Worst movie ever.')
{u'Sentiment': 0.07062467665597527}

>>> sentiment('Really enjoyed the movie.')
{u'Sentiment': 0.8105182526856075}

>>> test_face = np.linspace(0,50,48*48).reshape(48,48).tolist()

>>> fer(test_face)
{u'Angry': 0.08843749137458341, u'Sad': 0.39091163159204684, u'Neutral': 0.1947947999669361, u'Surprise': 0.03443785859010413, u'Fear': 0.17574534848440568, u'Happy': 0.11567286999192382}

>>> facial_features(test_face)
[0.0, -0.02568680526917187, 0.21645604230056517, -0.1519435786033145, -0.5648621854611555, 3.0607368045577226, 0.11434321880792693, -0.02163810928547493, -0.44224330594186484, 0.3024315632285246, -2.6068048934495276, 2.497798330306638, 3.040558335205844, 0.741045340525325, 0.37198135618478817, -0.33132377802172325, -0.9804190889833034, 0.5046575784709395, -0.5609132323152847, 1.679107064439151, 0.6825037853544341, -1.5977176226648016, 1.8959464303080562, -0.7812860715595836, -2.998394007543733, -0.22637273967347724, -0.9642457010679496, 1.4557274834236749, 2.412244419186633, 2.3151771738421965, 0.7881483386786367, 1.6622850935863422, 0.1304768990234367, 1.9344501393866649, 3.1271558035162914, -0.10250886439220543, 1.4921395116492966, 2.761645355670677, 1.6903473594991179, 1.009209807271491, 0.07273926986120445, -1.4941708135718021, -2.082786362439631, 1.0160924044870847, 2.5326580674673895, -0.8328208491083264, 2.0390177029762935, 3.0342637531932777]

>>> language_dict = language('Quis custodiet ipsos custodes')
>>> language_dict
{u'Swedish': 0.00033330636691921914, u'Lithuanian': 0.007328693814717631, u'Vietnamese': 0.0002686116137658802, u'Romanian': 8.133913804076592e-06, u'Dutch': 0.09380619821813883, u'Korean': 0.00272046505489883, u'Danish': 0.0012556466207667206, u'Indonesian': 6.623391878530033e-07, u'Latin': 0.8230599921384231, u'Hungarian': 0.0012793617391960567, u'Persian (Farsi)': 0.0019848504383980473, u'Turkish': 0.0004606965429738638, u'French': 0.00016792646226101638, u'Norwegian': 0.0009179030069742254, u'Russian': 0.0002643396088456642, u'Thai': 7.746466749651003e-05, u'Finnish': 0.0026367338676522643, u'Spanish': 0.011844579596827902, u'Bulgarian': 3.746416283126873e-05, u'Greek': 0.027456554742563633, u'Tagalog': 0.0005143018200605518, u'English': 0.00013517846159760138, u'Esperanto': 0.0002599482830232367, u'Italian': 2.650711180999111e-06, u'Portuguese': 0.013193681336032896, u'Chinese': 0.008818957727120736, u'German': 0.00011732494215411359, u'Japanese': 0.0005885208894664065, u'Czech': 9.916434007248934e-05, u'Slovak': 8.869445598583308e-05, u'Hebrew': 3.70933525938127e-05, u'Polish': 9.900290296255447e-05, u'Arabic': 0.00013589586110619373}

>>> sorted(language_dict.keys(), key=lambda x: language_dict[x], reverse=True)
[u'Latin', u'Dutch', u'Greek', u'Portuguese', u'Spanish', u'Chinese', u'Lithuanian', u'Korean', u'Finnish', u'Persian (Farsi)', u'Hungarian', u'Danish', u'Norwegian', u'Japanese', u'Tagalog', u'Turkish', u'Swedish', u'Vietnamese', u'Russian', u'Esperanto', u'French', u'Arabic', u'English', u'German', u'Czech', u'Polish', u'Slovak', u'Thai', u'Bulgarian', u'Hebrew', u'Romanian', u'Italian', u'Indonesian']

Installation

pip install indicoio