italicized text# Text Similarity Classification

Forked from PyCaret Examples. Last Update: 08/02/2020
PyCaret Version: 2.0
Author: Alexandre Farias
Email: afarias@tuta.io

Introduction

This task consists in compare two sentences present on the dataset and identify if both have the same meaning.
An Exploratory Data Analysis is made to gain insights about the data, a Topic Modelling to get the features and the classification step, these last two steps are made with the Python Module PyCaret.
Importing the requires modules, PyCaret is imported later to avoid conflicts on the experiments. The dataset used on this work is the Text Similarity hosted on Kaggle, only using the data present on the train set, since the test set has a few samples doesn't has the labels do validate the model.