Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

An off-the-rack NLP sentiment classifier- upload your own corpus or use the pre-installed ones

Project Description

# empathyMachines > A standalone NLP sentiment classifier you can import as a module

## Purposes

1. Offer a batteries-included NLP classifier you can use either on it’s own, or to make sentiment predictions as part of a broder NLP project (for example, when classifying customer messages, whether the customer is angry or not might help you determine if this is a compensation request, or a request to adjust their address.) 1. Have the entire sentiment prediction process scaffolded so you can feed in your own training corpus, and easily train an NLP sentiment classifier.

## How to use

1. Download the repo from GitHub (pip install coming later) 1. cd into repo, and pip install -r requirements.txt 1. In your Python code, from EmpathyMachines import EmpathyMachines 1. nlp_classifier = EmpathyMachines() 1. nlp_classifier.train(corpus=’Twitter’) 1. nlp_classifier.predict(text_string)

### Corpora included

### Include your own corpus (UNDER CONSTRUCTION)

Feel free to train a classifier on your own corpus!

Two ways to do this: 1. Read in a .csv file with header row containing “sentiment”, “text”, and optionally, “confidence” 1. Pass in an array of Python dictionaries, with attributes for “sentiment”, “text”, and optionally, “confidence”

1. Create a .csv file with the following fields 1. nlp_classifier.train(corpus=’custom’, corpus_path=’path/to/custom/corpus.csv’, analytics_output=False)

Release History

Release History

This version
History Node

0.5.1

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
empathy_machines-0.5.1-py2.py3-none-any.whl (3.8 kB) Copy SHA256 Checksum SHA256 py2.py3 Wheel Aug 5, 2016
empathy-machines-0.5.1.tar.gz (3.4 MB) Copy SHA256 Checksum SHA256 Source Aug 5, 2016

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