TextAnalytics

README

Neural Network

• Works on Linux environment only.
• 1.0
• Neural network models

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-DEEPLEARNING] (https://github.com/rahulr56/TextAnalytics-DeepLearning)
• Navigate to build directory and run build.sh
• The file ourNeuralNetDigitRecognition.py has to be run with PYTHON3.x

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 -- [email protected]