This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description
Distiller
=========

Distiller provides convenient auto-extraction of document key words
based on term-frequency/inverse-document-frequency (TF-IDF) and word
positioning.

Distiller handles all of the pre-processing details and produces final
statistic reports in JSON format.


Requirements
------------

Distiller uses the [Natural Language Toolkit](http://www.nltk.org/)

You will need to download a couple of NLTK packages:

>>> import nltk
>>> nltk.download()
Downloader> d
Download which package (l=list; x=cancel)?
Identifier> maxent_treebank_pos_tagger
Downloader> d
Download which package (l=list; x=cancel)?
Identifier> stopwords



Installation
------------

Installation using pip:

$ pip install Distiller


Usage
-----

Typical usage from within the Python interpreter:

>>> from Distiller.distiller import Distiller
>>> distiller = Distiller(data, target, options)


Arguments
---------

### data

Path to file containing the document collection in JSON format.

{
'metadata': {
'base_url': 'The document's source URL (if any)'
},
'documents': [
{
'id': 'The document's unique identifier (if any)',
'body': 'The entire body of the document in a single text blob.',
}, ...
]
}

###target

Path where Distiller will output the following reports:

keywords: A list of words and the frequency with which they were detected as being keywords of documents.

bigrams: A list of word pairs and the frequency with which they were detected as being key pairs in documents.

trigrams: A list of word triples and the frequency with which they were detected as being key pairs in documents.

docmap: A mapping of document IDs to their respective keywords, n-grams, and other statistics.

keymap: A mapping of keywords to the documents they appear in.


###options

An optional dictionary containing document processing arguments in this format:

{
'normalize': True, # normalize tokens during pre processing
'stem': True, # stems tokens during pre processing
'lemmatize': False, # lemmatize during pre processing
'tfidf_cutoff': 0.001, # cutoff value to use for term-freq/doc-freq score
'pos_list': ['NN','NNP'], # POS white list used to filter for candidates
'black_list': [] # token list used to filter out from candidates
}
Release History

Release History

0.1.2

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Show More

0.1.1.1

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Show More

0.1.1

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Show More

0.1.0

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Show More

Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
Distiller-0.1.2.tar.gz (9.1 kB) Copy SHA256 Checksum SHA256 Source Aug 13, 2014

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting