FastSent 0.2.0

FastSent is one of the solution for Sentiment classification using Recurrent Neural Networks(GRU)

FastSent is Sentiment Classification python library. It uses Sequential model for Sentiment classfication. FastSent is developed using GRU(Gated Recurrent Unit) model.

Requirement

FastSent support Python 3.6 or newer.

Installation

pip install FastSent

Example

This package is being developed for sentiment classfication using Sequential model GRU(Gated Recurrent Unit).

data = 'Sample.csv'
labels = 'sentiment'
text = 'content'

f = FastSent()
X_train, X_test, y_train, y_test = f.train_test_split(data, labels, text)
trained_model = f.fit_train(X_train, y_train, 500, 50, 7789, 5, 4)
prediction = f.predict(trained_model, X_test, y_train, 4)

where sample is a training file containing labels and text.

References

DataSet Information

[1] Sample DataSet is being used for research purpose from  `*data.world* <https://data.world/crowdflower/sentiment-analysis-in-text>`.