Generador automático de Nube de palabras diariamente hecho en Python.

LSF subreddit sentiment analyzer that runs everyday.

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.

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.

NLTK Source

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

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.

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.

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.

RAG LLM Ops App for easy deployment and testing

Work tools with python

Sentiment analysis is part of the NLP techniques that consists in extracting emotions related to some raw texts.

Knowledge graph from unstructured text

A scraper for investing.com forex news using beautifulsoup and nltk. It also figures out which way (bull or bear) a pair would go using tokenization and a bull/bear vocabulary.

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

Extracting emotion from sound by looking at sound file's features and the meaning of the sentences using NLTK and LSTM.