A project for sentiment analysis of tweets using various NLP techniques and machine learning models.

Generador automático de Nube de palabras diariamente hecho en Python.

LSF subreddit sentiment analyzer that runs everyday.

RAG LLM Ops App for easy deployment and testing

This project explores content availability across countries, identifies similarities in content, analyses networks of actors/directors, assesses focus on TV shows vs. movies, examines user preferences, tracks sentiment trends, studies content addition trends, investigates content distribution, explores popular genres, and analyses content ratings.

Wordle Wizard can solve any Wordle puzzle. You just need to provide a starting word and a target word. Web app available on Streamlit cloud.

Python implementation of n-gram language models from scratch and using NLTK (+ slides from my NLP course)

Watcher - Open Source Cybersecurity Threat Hunting Platform. Developed with Django & React JS.

System designed to provide real-time assistance to visually impaired individuals by detecting obstacles in their path and helping them finding desire objects in their environment.

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

NLTK Source

Welcome to Word.NLP! This is a simple Natural Language Processing project made using a .txt notebook file which contains the majority of words in the English Language.

In this project, we aim to analyze hotel reviews to determine the underlying sentiment expressed by customers. Our goal is to differentiate between positive and negative reviews using Natural Language Processing (NLP) techniques and machine learning algorithms.

Extract text from papers PDFs and abstracts, and remove uninformative words.

California crime analysis between 1980 to 2000 using python performed during my Masters

Performed sentiment analysis using machine learning and Flask , explored the fascinating world of sentiment analysis and learnt how to build powerful models that can classify the sentiment of text data. Covered the entire process from data preprocessing to model training and deployment.

Machine Learning model for sentiment analysis of tweets using Logistic Regression on a Kaggle dataset.

Data Science Course

LaptopLoot automates the process of scraping laptop data from eBay and saving it to a Google Sheet for analysis. `Playwright` for web scraping and `gspread` for Google Sheets integration.

Work tools with python