Deep-Learning-for-Gender-Classification-from-Text

LLT3510 University of Malta

The structure of this project (submitted for fulfillment of the assignment component of LLT3510) is based on 3 steps.

1) Preprocessing the Datasets

Setting up into Training and Testing sets with X and Y correspondents 
Tokenization 

2) Creating a Linear Regression Model

Creating a Linear Regression Model to classify the sentence gender label 
An additional task was to find the top 10 words in the whole dataset

3) Creating a Deep Learning Model

A RNN was opted to be used instead of a CNN due to better performance historically in RNNs when it comes to text processing 

All of the code can be found in the text_classification Jupyter Notebook, whereas the datasets can be found as the only CSVs in the repository