text-classification-algorithms

Implementing text classification algorithms using the 20 newsgroups datasets, with python

NoetIA es un asistente inteligente orientado a la organización de información no estructurada. A partir de texto libre, aplica técnicas de procesamiento de lenguaje natural para clasificar tareas, notas e ideas en una jerarquía clara y funcional. Este proyecto se desarrolla como parte del Diplomado en Ciencia de Datos y tiene un enfoque académico

Machine Learning-based BBC News Classification using NLP, TF-IDF, Scikit-learn, and FastAPI.

AI-powered Resume Screener using Scikit-learn, featuring text preprocessing, TF-IDF vectorization, and ML models (Logistic Regression, SVM, Random Forest) to classify and rank resumes for automated recruitment.

A machine learning-based sentiment analysis project that classifies text into Positive, Negative, and Neutral sentiments. The project uses TF-IDF vectorization and a trained classification model to generate sentiment predictions along with probability scores. Built as part of my AI/ML internship, with a focus on NLP preprocessing, model