This project analyzes IMDb movie reviews to classify sentiments as positive or negative. It includes text preprocessing, feature extraction using TF-IDF and CountVectorizer, training Logistic Regression and Naive Bayes classifiers, and visualizing frequent words with WordClouds.

Fake News Detection system using NLP techniques and TF-IDF vectorization to classify news articles as real or fake. Trained with Logistic Regression and SVM on the Fake and Real News Dataset, with preprocessing, evaluation metrics, and word cloud visualizations.

Named Entity Recognition (NER) on news articles using rule-based and spaCy models. Includes entity extraction, visualizations with displaCy, and comparison of small vs large spaCy models for analysis and insights.

News Category Classification using AG News dataset. Implements text preprocessing, TF-IDF vectorization, and trains Logistic Regression and a Neural Network to classify news into World, Sports, Business, and Sci/Tech categories. Includes data visualization and model evaluation.

💬 It uses NLP techniques to classify reviews as positive, neutral or negative, providing valuable insights into customer feedback.

This repo includes a generalized preprocessing pipeline for text data in NLP tasks.

NLP-based fake news detection using pre-trained Word2Vec embeddings and semantic feature engineering. Includes deep EDA, entity-based features, interpretable metrics, and evaluation across multiple models including Logistic Regression, Decision Tree, and Random Forest.

A deep learning-based AI tool for correcting grammatical and spelling errors using TensorFlow. Features LSTM-based sequence-to-sequence modeling, data preprocessing, and real-time correction capabilities.

A PDF Reader application powered by AI, allowing users to upload PDF documents and extract meaningful information using advanced NLP models. Built with Streamlit, Transformers, and Langchain, this app provides a seamless interface for interacting with and analyzing PDF content.

The results are drawn from experiments on the classification of legal documents using LLMs in a real-world institutional setting

The excellent Image captioning model using the DETR inspired architecture

PropInsight is an AI-powered property inspection report generator that utilizes LLM models to analyze property types and observed issues, generating comprehensive and data-driven reports for smarter decision-making.

Companion repository for the paper "Methodological Trends in Psychology Research: Analyzing Abstracts with NLP and Machine Learning." Includes code, term glossary, and workflows for clustering and text analysis.

Assignments and final project for the graduate course Natural Language Processing at CIMAT (Spring 2025). Includes classical and neural methods for text classification, sequence modeling, and user profiling.

Brainlink is an interactive web application designed to foster knowledge sharing and collaborative learning.

This repository contains a next-word prediction model using TensorFlow and Keras to generate text in the style of Shakespeare's sonnets.

Fake news detection involves analyzing the content of news articles to identify whether they are real or fake. This process examines the language, structure, and patterns in the text to make an accurate classification.

Language Translation Bot is an automated multilingual translation tool built with Python 2.7