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This repository showcases my work on the Quora Insincere Question Classification project. It includes: A comparative analysis of Machine Learning and Deep Learning models for preprocessing and classification ,The implementation of a Deep Learning model using GloVe Embeddings and a Bi-directional LSTM, achieving an F1 score of 0.65.performance.

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Bsarma25/NLP-Quora-Insincere-Question-Classification

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Quora Insincere Questions Classification

Project Overview

This project focuses on the classification of insincere questions on Quora using NLP and deep learning techniques. The goal is to identify and flag questions that are disrespectful or not genuine.

Features

  • Data Preprocessing: Techniques to clean and prepare text data.
  • NLP Techniques: Utilizing various NLP methods for text analysis.
  • Deep Learning Models: Implementation of deep learning algorithms for classification.

Detailed Report :

https://github.com/Bsarma25/NLP-Quora-Insincere-Question-Classification/blob/main/Report.pdf

Installation

# Clone this repository
git clone https://github.com/Bsarma25/NLP-Quora-Insincere-Question-Classification.git
# Navigate to the project directory
cd NLP-Quora-Insincere-Question-Classification

About

This repository showcases my work on the Quora Insincere Question Classification project. It includes: A comparative analysis of Machine Learning and Deep Learning models for preprocessing and classification ,The implementation of a Deep Learning model using GloVe Embeddings and a Bi-directional LSTM, achieving an F1 score of 0.65.performance.

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