srinivas175 / paralleldots-python-api

Python repository for ParallelDots API Wrapper

ParallelDots-Python-API

A wrapper for the ParallelDots APIs.

Build Status:

Installation

From PyPI:

pip install paralleldots

From Source:

https://github.com/ParallelDots/ParallelDots-Python-API.git
python setup.py install

API Keys & Setup

Sign up to create your free account from ParallelDots. Log in to your account to get your API key.

Configuration:

>>>>> import paralleldots

# Setting your API key
>>>>> paralleldots.set_api_key( "YOUR API KEY" )

# Viewing your API key
>>>>> paralleldots.get_api_key()

Languages Supported:

• Portuguese ( pt )
• Simplified Chinese ( Not available in multilingual keyword generator API ) ( zh )
• Spanish ( es )
• German ( de )
• French ( fr )
• Dutch ( nl )
• Italian ( it )
• Japanese ( ja )
• Thai ( th )
• Danish ( da )
• Finnish ( fi )
• Greek ( el )
• Russian ( ru )
• Arabic ( ar )

Supported APIs:

• Abuse
• Custom Classifier
• Emotion
• Sarcasm
• Facial Emotion
• Intent
• Keywords
• Multilanguage Keywords ( Supports Multiple Languages )
• Named Entity Extraction/Recognition ( NER )
• Not Safe For Work ( NSFW Image Classifier )
• Phrase Extractor
• Popularity ( Image Classifier )
• Object Recognizer
• Sentiment Analysis
• Semantic Similarity
• Taxonomy
• Text Parser
• Usage

Examples

>>> import paralleldots

>>> api_key   = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
>>> text      = "Chipotle in the north of Chicago is a nice outlet. I went to this place for their famous burritos but fell in love with their healthy avocado salads. Our server Jessica was very helpful. Will pop in again soon!"
>>> path      = "/path/to/image.jpg"
>>> lang_code = "fr"
>>> lang_text = "C'est un environnement très hostile, si vous choisissez de débattre ici, vous serez vicieusement attaqué par l'opposition."
>>> category  = { "finance": [ "markets", "economy", "shares" ], "world politics": [ "diplomacy", "UN", "war" ], "india": [ "congress", "india", "bjp" ] }
>>> url       = "http://i.imgur.com/klb812s.jpg"
>>> data      =  [ "I like walking in the park", "Don't repeat the same thing over and over!", "This new Liverpool team is not bad", "I have a throat infection" ]


>>> paralleldots.set_api_key( api_key )
>>> print( "API Key: %s" % paralleldots.get_api_key() )

>>> print( "\nAbuse" )
>>> paralleldots.abuse( text )


>>> print( "\nBatch Abuse" )
>>> paralleldots.batch_abuse( data )


>>> print( "\nCustom Classifier" )
>>> paralleldots.custom_classifier( text, category )

>>> print( "\nEmotion" )
>>> paralleldots.emotion( text )

>>> print( "\nBatch Emotion" )
>>> paralleldots.batch_emotion( data )


>>> print( "\nEmotion - Lang: Fr". )
>>> paralleldots.emotion( lang_text, lang_code )


>>> print( "\nSarcasm - Lang: Fr" )
>>> paralleldots.sarcasm( lang_text,lang_code )


>>> print( "\nSarcasm" )
>>> paralleldots.sarcasm( text)


>>> print( "\nBatch Sarcasm" )
>>> paralleldots.batch_sarcasm( data )


>>> print( "\nFacial Emotion" )
>>> paralleldots.facial_emotion( path )

>>> print( "\nFacial Emotion: URL Method" )
>>> paralleldots.facial_emotion_url( url )

>>> print( "\nIntent" )
>>> paralleldots.intent( text )

>>> print( "\nBatch Intent" )
>>> paralleldots.batch_intent( data )

>>> print( "\nKeywords" )
>>> paralleldots.keywords( text )

>>> print( "\nBatch Keywords" )
>>> paralleldots.batch_keywords( data )

>>> print( "\nLanguage Detection" )
>>> paralleldots.language_detection( lang_text )


>>> print( "\nBatch Language Detection" )
>>> paralleldots.batch_language_detection( data )


>>> print( "\nMultilang Keywords - Lang: fr". )
>>> paralleldots.multilang_keywords( lang_text, lang_code )

>>> print( "\nNER" )
>>> paralleldots.ner( text )

>>> print( "\nNER - Lang: es" )
>>> paralleldots.ner( "Lionel Andrés Messi vuelve a ser el gran protagonista en las portadas de la prensa deportiva internacional al día siguiente de un partido de Champions.","es" )


>>> print( "\nBatch NER" )
>>> paralleldots.batch_ner( data ) 



>>> print( "\nObject Recognizer" )
>>> paralleldots.object_recognizer( path )


>>> print( "\nObject Recognizer: URL Method" )
>>> paralleldots.object_recognizer_url( url )


>>> print( "\nPhrase Extractor" )
>>> paralleldots.phrase_extractor( text ) 


>>> print( "\nBatch Phrase Extractor" )
>>> paralleldots.batch_phrase_extractor( data )


>>> print( "\nSentiment" )
>>> paralleldots.sentiment( text )


>>> print( "\nBatch Sentiment" )
>>> paralleldots.batch_sentiment( data )


>>> print( "\nSentiment - Lang: Fr". )
>>> paralleldots.sentiment( lang_text, lang_code ) 


>>> print( "\nSimilarity" )
>>> paralleldots.similarity( "I love fish and ice cream!", "fish and ice cream are the best!" )


>>> print( "\nTaxonomy" )
>>> paralleldots.taxonomy( text ) 


>>> print( "\nBatch Taxonomy" )
>>> paralleldots.batch_taxonomy( data )


>>> paralleldots.usage()