fatiherikli / Klassify

Klassify

Redis based text classification service with real-time web interface.

What is Text Classification

Text classification, document classification or document categorization is a problem in library science, information science and computer science. The task is to assign a document to one or more classes or categories.

https://en.wikipedia.org/wiki/Document_classification

There are many use cases of document classifiers in real world:

• Spam filters
• Web page classification
• News and and topic categorization
• Sentiment Analysis

Demo

Installing

sudo pip install klassify

If you don't have an nltk corpus, you'll need to run this:

python -c 'import nltk; nltk.download("stopwords")'

You'll also need redis installed, check if you have it installed by running this command:

redis-server

If you get a command not found, follow these instructions

Installing on Virtualenv

virtualenv foo
source foo/bin/activate
pip install klassify
python -m klassify

Usage

python -m klassify

Command line options:

  --port                           run on the given port (default 8888)
  --prefix                         prefix that will be used in redis keys
                                   (default klassify)
  --redis-db                       redis database (default 0)
  --redis-host                     redis host (default localhost)
  --redis-port                     redis port (default 6379)

Installing using Docker

Note: This requires installation of both Docker and docker-compose

docker-compose up

License History

2016-2021 The MIT License (MIT) Copyright (No-copy-left)  Fatih Erikli
2021-     CC0 1.0 Universal     Copyright (No-copy-left)  Fatih Erikli

To-do

• Will add a classification backend system as the following
  • Keep the current one as the Bayesian one
  • Add another backend for Support Vector Machines