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This is semantics text classification with both client and server side scripts and a GUI for client to interact with the server. It has code for both training and inference.

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Semantic-Text-Classification-AppleVsApple

This is semantics text classification with both client and server side scripts and a GUI for client to interact with the server.
It has code for :

  1. Training and inference of models
  2. Collecting data of client requests and server response is a sqlite database

Models directory has trained SVM for this task and one can easily integrate other models for training and inference with minimal changes to existing files.

See help.txt for detialed explanation

Demo

Dependencies

python 3.5.6
sklearn 0.2.0
pathlib 2.3.2
os any
json 2.6.0
argparse any
flask 1.0.2
threading any
tkinter 8.6
pickle 0.7.5
sqlite3 3.24.0
datetime any
nltk 3.3

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This is semantics text classification with both client and server side scripts and a GUI for client to interact with the server. It has code for both training and inference.

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