Metadata-Version: 1.1
Name: yake
Version: 0.3.2
Summary: Keyword extraction Python package
Home-page: https://pypi.python.org/pypi/yake
Author: UNKNOWN
Author-email: UNKNOWN
License: UNKNOWN
Description: ========================================
        Yet Another Keyword Extractor (Yake)
        ========================================
        
        Unsupervised Approach for Automatic Keyword Extraction using Text Features
        
        * Documentation: https://pypi.python.org/pypi/yake.
        
        Main Features
        -------------
        
        * Unsupervised approach
        * Multi-Language Support 
        * Single document
        
        Rationale
        -------------
        
        Extracting keywords from texts has become a challenge for individuals and organizations as the information grows in complexity and size. The need to automate this task so that texts can be processed in a timely and adequate manner has led to the emergence of automatic keyword extraction tools. Despite the advances, there is a clear lack of multilingual online tools to automatically extract keywords from single documents. Yake! is a novel feature-based system for multi-lingual keyword extraction, which supports texts of different sizes, domain or languages. Unlike other approaches, Yake! does not rely on dictionaries nor thesauri, neither is trained against any corpora. Instead, it follows an unsupervised approach which builds upon features extracted from the text, making it thus applicable to documents written in different languages without the need for further knowledge. This can be beneficial for a large number of tasks and a plethora of situations where the access to training corpora is either limited or restricted.
        
        
        Please cite the following works when using YAKE
        ------------
        
        Campos, R., Mangaravite, V., Pasquali, A., Jorge, A., Nunes, C., & Jatowt, A. (2018).
        A Text Feature Based Automatic Keyword Extraction Method for Single Documents
        Proceedings of the 40th European Conference on Information Retrieval (ECIR'18), Grenoble, France. March 26 – 29.
        
        Campos, R., Mangaravite, V., Pasquali, A., Jorge, A., Nunes, C., & Jatowt, A. (2018).
        YAKE! Collection-independent Automatic Keyword Extractor
        Proceedings of the 40th European Conference on Information Retrieval (ECIR'18), Grenoble, France. March 26 – 29
        
        
        Requirements
        -------------
        Python3
        
        
        Installation
        -------------
        
        To install Yake on your terminal ::
        
        	pip install yake
        
        To upgrade using pip::
        
        	pip install yake –upgrade
        
        Usage
        ---------
        
        How to use it on your favorite command line::
        
        	yake --input_file [text file] --language en --ngram_size 3
        
        
        How to use it on Python::
        
        	import yake
        
        	text_content = """
        		Sources tell us that Google is acquiring Kaggle, a platform that hosts data science and machine learning
        		competitions. Details about the transaction remain somewhat vague , but given that Google is hosting
        		its Cloud Next conference in San Francisco this week, the official announcement could come as early
        		as tomorrow.  Reached by phone, Kaggle co-founder CEO Anthony Goldbloom declined to deny that the
        		acquisition is happening. Google itself declined 'to comment on rumors'.
        	"""
        
        	# assuming default parameters
        	simple_kwextractor = yake.KeywordExtractor()
        	keywords = simple_kwextractor.extract_keywords(text_content)
        
        	for kw in keywords:
        		print(kw)
        
        	# specifying parameters
        	custom_kwextractor = yake.KeywordExtractor(lan="en", n=3, dedupLim=0.8, windowsSize=2, top=20)
        	keywords = custom_kwextractor.extract_keywords(text_content)
        
        	for kw in keywords:
        		print(kw)
        
        
        Upload new version to pip 
        -----
        
        Run::
        
        	> make dist
        	> python setup.py sdist upload -r https://upload.pypi.org/legacy/
        
        Specify credentials at ~/.pypirc::
        
        	[distutils]
        	index-servers =
        	  pypi
        
        	[pypi]
        	repository=https://upload.pypi.org/legacy/
        	username=<user>
        	password=<pass>
        
Keywords: yake
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
