NLP Navigator

Decoding Language with Intelligence.

A repository dedicated to exploring and showcasing a wide range of Natural Language Processing (NLP) techniques and projects. It covers foundational methods, such as text preprocessing and feature extraction, to advanced applications, including sentiment analysis, machine translation, and language generation. This repository serves as a comprehensive platform for learning, experimenting, and building innovative solutions in the field of text and language analysis.

1. Text Processing and Feature Engineering

✦ Basics of Text Preprocessing
✦ Named Entity Recognition
✦ Text Preprocessing & Word Embedding

2. Sentiment Analysis and Text Classification

2.1. Aspect-Based Sentiment Analysis

✦ Online Store Review

2.2. Multi-Class & Multi-Label Text Classification

✦ Binary Classification with TF-IDF and Ensemble Models
✦ Emotion Classification from Product Reviews using Bidirectional LSTM and Word2Vec Embeddings

2.3. Transfer Learning with BERT, RoBERTa

3. Sequence Models: RNNs, LSTMs, and GRUs

3.1. Sequence-to-Sequence Learning

✦ Sequence To Sequence

3.2. Attention Mechanisms in LSTMs

3.3. Hybrid Models (LSTM + CNN)

4. Transformer-Based Models and Applications

4.1. Fine-Tuning BERT and RoBERTa for NLP Tasks

✦ Fine-Tuning BERT for Sentiment Classification of Product Reviews Using PyTorch
✦ Fine-Tuning RoBERTa for Binary Sentiment Classification of Online Store Reviews

4.2. Prompt Engineering with GPT and T5

4.3. Multi-Modal Transformers (Vision + NLP)