rahulr56 / TextAnalytics-DecisionTree

TextAnalytics - Decision Tree

README

Decision Tree Classification

• Works on Linux environment only.
• 1.0
• Learn Markdown

Contents

1. SETUP
2. MINIMUM SYSTEM REQUIREMNETS
3. SOFTWARE/PLUG-IN DOWNLOADS
4. GUIDELINES
5. WARNINGS
6. REPO OWNERS AND ADMINS

SETUP

• Clone the repo at [TEXT ANALYTICS] (https://github.com/rahulr56/TextAnalytics.git)
• Navigate to build directory and run build.sh

MINIMUM SYSTEM REQUIREMNETS

• MINIMUM 4GB RAM
• Intel core i3 or higher

SOFTWARE/PLUG-IN DOWNLOADS

• Download and install Anaconda
• NLTK and TEXTBLOB libraries
• preferred configuration: python 2.7.x with annaconda and nltk libraries

GUIDELINES

• By default, the application assumes that the test and training datasets are present in the DataSet directory.
• The file path can be adjusted in the loadFile function call.
• How to run: python filename [amazonAnalysis.py or opticalRecogniser.py]

WARNING

• Please note that 'python' in the command to run should include anaconda and nltk libraries.
• It is preferred to run the scripts on High Performance Clusters if the data set is huge.

REPO OWNERS AND ADMINS

• Rahul Rachapalli -- [e-mail]
• Manasa Sadananda -- [e-mail]
• Vikas Deshpande -- [e-mail]