Script to generate wordcloud with tags from the artists listened by a Last.fm user

Chart.js Word Clouds

Wisteria Dataviz Library

word cloud generator in julia

Auto RSS New York Times and Generate Word Cloud.

This repos is auto action which generating a wordcloud made by Twitter.

It provides functions commonly required by applications, such as Django's basic login/logout authentication, security measures, user profiles, and inquiries. I created it as a study. It can be applied to various purposes.

Docker wrapper for wordcloud-cli

This project is designed to classify YouTube comments as toxic or non-toxic using BERT (Bidirectional Encoder Representations from Transformers). By fine-tuning a pre-trained BERT model, we leverage state-of-the-art NLP capabilities to identify harmful content in online conversations.

Generador automático de Nube de palabras diariamente hecho en Python.

Passionate and detail-oriented Ex-data science intern with hands-on experience in data analysis, machine learning, and statistical modeling. Seeking to leverage my skills in Python, Tableau, SQL, and data visualization tools to contribute to impactful projects and gain valuable industry experience.

Parsers and visualizations for chats

This is Analysis of Whatapp Chat 2024

Natural LangWiz is a repository for exploring Natural Language Processing (NLP) techniques through Jupyter notebooks. It covers everything from text preprocessing and sentiment analysis to advanced transformer models. Dive in to see how we turn raw text into actionable insights with a touch of NLP wizardry!

Two-Cents enables real-time discussions on topics, letting users share opinions instantly. Built with Socket.IO, Next.js, and Upstash/Redis

Website Summarizer quickly extracts key information and images from web pages, providing concise summaries for easy understanding , faster reading and easy visualization.

App Reviews Dashboard/Analytics

A simple podcasts player/viewer being developed using python. The goal is to have a modern yet simple podcasts functionality. Should retrive RSS based on xml, save them, play audio, display description, audio transcript, transcript summary, display image from show/epicode, and display a wordcloud based on transcript to give a quick idea.

This project performs sentiment analysis on movie reviews, classifying them as positive or negative using Natural Language Processing (NLP) techniques and machine learning models.