NLP with Deep Learning

This repository contains various deep learning projects and examples related to Natural Language Processing. Below is a brief overview of the contents:

Projects:

1. GPT/GPT-2 Text Generation:

   • Demonstrates text generation using OpenAI's GPT and GPT-2 models.

2. Kaggle Fake News Classifier:

   • Implementation of a model to classify fake news using Kaggle dataset.

3. Multi-Label Text Classification:

   • Example of multi-label text classification tasks.

4. NMT using Attention and Transformers:

   • Neural Machine Translation using attention mechanisms and transformer models.

5. Named Entity Recognition:

   • Identifying and classifying named entities in text data.

6. Neural Machine Translation using seq2seq model:

   • Implementation of seq2seq model for neural machine translation.

7. PREPROCESSING TECHNIQUES:

   • Examples of preprocessing techniques, including handling imbalanced data in spam classification.

8. Sentiment Analysis of Movie Reviews:

   • Sentiment analysis of movie reviews using deep learning models.

9. Text Summarization using Transformers:

   • Text summarization tasks utilizing transformer models.

10. Twitter Sentiment Analysis Using LSTM RNN:

    • Sentiment analysis of Twitter data using LSTM recurrent neural networks.

11. Basic RNN Example:

    • Simple example demonstrating the use of recurrent neural networks.

12. Basic Spam Classifier:

    • Basic spam classifier implementation.

13. YouTube Channel Classifier:

    • Classifier for categorizing YouTube channels.

Feel free to explore each project folder for implentations.