Metadata-Version: 1.1
Name: opentc-util
Version: 0.1.0
Summary: The util package of OpenTC (A text classification engine using machine learning)
Home-page: https://github.com/cahya-wirawan/opentc-util
Author: Cahya Wirawan
Author-email: Cahya.Wirawan@gmail.com
License: MIT
Description: # Open Text Classification (OpenTC)
        
        OpenTC is a text classification engine using machine learning. It is designed as client-server architecture and uses 
        python libraries scikit-learn and tensorflow for it's machine learning algorithms. 
        Currently following algorithms are supported:
        
        - Naive Bayes
        - Support Vector Machine
        - Convolutional Neural Network
        
        In the future it will also support FastText from Facebookresearch. 
        
        The engine is running as a server listening on command and text to be classified. By default it listens on localhost 
        port 3333, but it can be changed in the yaml configuration file. 
        
        ## Requirements
        - Python 3.x
        - numpy
        - pyparsing
        - PyYAML
        - scikit-learn
        - scipy
        - tensorflow 1.x
        
        ## opentcd
        
        ### synopsis
        opentcd
        
        ### Description
        The daemon listens for incoming connections on TCP socket and classify files or text string on demand. 
        It reads the configuration from /etc/opentc/opentc.yml
        
        
        ### Commands
        The command uses a newline character as the delimiter. If opentcd doesn't recognize the command, 
        or the command doesn't follow the requirements specified below, it will reply with an error message, but still wait 
        for the next commands (this behaviour can be changed in the future).
        
        #### PING
        Check the server's state. It should reply with "PONG".
        
        #### VERSION
        Print the program version
        
        #### RELOAD
        Reload the engine
        
        #### LIST_CLASSIFIER
        List the supported classifiers (at the moment there are three classifiers
        supported: Bayesian, Support Vector Machine and Convolutional Neural Network). It shows also 
        the status of classifier, either True (enabled) or False (disabled).
        
        #### SET_CLASSIFIER
        Enabled or disabled the specific classifier
        
        #### PREDICT_STREAM
        Classify text streams. It uses a new line character as delimiter for every sentences. 
        
        #### PREDICT_FILE
        Classify file. It uses a new line character as delimiter for every sentences
        
        #### CLOSE
        Close the connection
        
        ## Todo
        - Multilabel classification
        - Include FastText from Facebookresearch
        - 
Keywords: machine learning cnn svm bayesian
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Text Processing :: Filters
