Metadata-Version: 1.1
Name: ParallelDots
Version: 0.9.0
Summary: Python Wrapper for ParallelDots APIs
Home-page: https://github.com/ParallelDots/ParallelDots-Python-API.git
Author: Ahwan Kumar,Meghdeep Ray
Author-email: ahwan@paralleldots.com,meghdeepr@paralleldots.com
License: MIT
Description: ParallelDots-Python-API
        =======================
        
        A wrapper for the [ParallelDots API](http://www.paralleldots.com).
        
            
        Installation
        ------------
        From PyPI:
        
        	pip install paralleldots
        
        
        From Source:
        
        	https://github.com/ParallelDots/ParallelDots-Python-API.git
        	python setup.py install
        
        API Keys & Setup
        ----------------
        Signup and get your free API key from [ParallelDots](http://www.paralleldots.com/pricing).
        You will receive a mail containing the API key at the registered email id.
        
        Configuration:
        
        	>>> from paralleldots import set_api_key, get_api_key
        
        	# Setting your API key
        	>>> set_api_key("YOUR API KEY")
        
        	# Viewing your API key
        	>>> get_api_key()
        
        Usage:
        
        	>>> from paralleldots import hit_count, specific_hit_count
        
        	# View the number of API hits made and hits remaining
        	>>> hit_count()
        
        	# View the number of hits made for a specific API by using function name as a String
        	>>> specific_hit_count( "multilang_sentiment" )
        
        Supported APIs:
        ---------------
        
        - [Semantic Similarity](https://tinyurl.com/k23nqs9)
        - [Sentiment Analysis](https://tinyurl.com/km99mzb)
        - Taxonomy
        - [Named Entity Extraction/Recognition ( NER )](https://tinyurl.com/k9yglwc)
        - [Keywords](https://tinyurl.com/kujcu8o)
        - [Intent](https://tinyurl.com/n568bqw)
        - [Emotion](http://blog.paralleldots.com/technology/deep-learning/emotion-detection-using-machine-learning/)
        - Abuse
        - Multiple Language Sentiment
        	- Portuguese ( pt )
        	- French ( fr )
        	- Spanish ( sp )
        
        Examples
        --------
        
        	>>> from paralleldots import similarity, ner, taxonomy, sentiment, keywords, intent, emotion, multilang_sentiment
        
        	>>> similarity( "Sachin is the greatest batsman", "Tendulkar is the finest cricketer" )
        	{"actual_score": 0.8429316099720955, "normalized_score": 4.931468684177398, "similarity": 4.931468684177398}
        
        	>>> sentiment( "Come on, lets play together" )
        	{"sentiment": 0.8513014912605286}
        
        	>>> taxonomy( "Narendra Modi is the prime minister of India" )
        	{"tags": [[u"finance", 4.088], [u"government", 3.4284], [u"business", 1.2719]]}
        
        	>>> ner( "Narendra Modi is the prime minister of India" )
        	{"entities": [[u"Modi", 1.0, [u"person"], u""], [u"India", 1.0, [u"org"], u""], [u"Narendra", 1.0, [u"org"], u""]]}
        
        	>>> keywords( "Prime Minister Narendra Modi tweeted a link to the speech Human Resource Development Minister Smriti Irani made in the Lok Sabha during the debate on the ongoing JNU row and the suicide of Dalit scholar Rohith Vemula at the Hyderabad Central University." )
        	{"keywords": [[u"Human Resource Development Minister Smriti Irani", 6], [u"Prime Minister Narendra Modi", 4], [u"Hyderabad Central University", 3], [u"ongoing JNU row", 3], [u"Dalit scholar", 2], [u"Lok Sabha", 2], [u"Rohith Vemula", 2]]}
        
        	>>> emotion("Did you hear the latest Porcupine Tree song ? It's rocking !")
        	{"emotion": "happy"}
        
        	>>> intent("Finance ministry calls banks to discuss new facility to drain cash")
        	{"intent": "news"}
        
        	>>> multilang_sentiment("La ville de Paris est très belle", "fr")
        	{"sentiment": "positive", "confidence_score": 0.998047}
Keywords: paralleldots sentiment taxonomy ner semantic similarity deeplearning
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.0
Classifier: Programming Language :: Python :: 3.1
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
