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
A [Voci V-Blaze][1] Natural Language Processor

- **Python 2.7**
- **NLTK 2.0** (with data)

> pip install blazor

NLTK data packages are required as well. For installation instructions see

The transcript output of the V-Blaze web service is parsed and processed as follows:

This is where the transcript generated from the Voci V-Blaze is loaded, tokenized into full sentences and cleaned from vocal tags (`<s>`, `++BRTH++`, `++AH++`, etc.). Call is divided into `Utterance`s, each utterance contains its respective properties (`id`, `confidence`, `start`, `end`, `channel`, `sentiment`, `gender`, `breath_count`, `silence_count`, and `sentences`).

Sentiment Analysis
A Sentiment Analyzer is trained on movie reviews and then utilized to classify (using NaiveBayesClassifier) each utterance sentence to one of `pos` or `neg` classes. Positive and Negative fractions are then stored for later indexing.

Release History

Release History


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

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS HPE HPE Development 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