yashbonde/simplesentiment_deeplearning

Sentiment analysis using Deep Learning methods

simpleSentiment_DeepLearning

A simple implemnatations of a NLP combined with Deep Learning Neural Networks built in python3 using Google's Tensorflow library.

Input

The input files are pos.txt and neg.txt As the name suggests, pos.txt has all the statements that are positive, and neg.txt has a large set of sentences that are negative.

To use

sentiment_calculator_1.py is a script that has functions that convert any sentence into it's vector to feed into the neural network. neural_network_1.py is the first neural network (var-500-500-500-var).