Visualize, share, and keep your favorite music artists on the Web
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Updated
Dec 9, 2022 - Python
Visualize, share, and keep your favorite music artists on the Web
This Python script scrapes up to 100 most recent Linkedin job postings of any job title and creates sentiment visualization in a form of a word cloud.
Build MAXELLA App to recommend Movies using TensorFlow Recommenders (TFRS)
EDA using Women's E-Commerce Clothing Reviews Dataset
Sentiment analysis of Joe Biden's and Donald Trump's tweets.
R Dashboard that provides insights on questions asked on the Crime Surveillance System - Survey. The questions are based on how communities feel about crime related to arson, common assault and possession of deadly weapons. Additionally, on how the implementation of smart surveillance systems would help in detecting the crimes mentioned in real-…
Rust library to generate word cloud images from text and images !
Analysis of the State of Internet Censorship in the United Kingdom Using Data Provided by OONI and Blocked Project as well as Scraped URL Meta Data
Aims to analyze the #stopasianhate movement on Twitter and spread the awareness of anti-racism hate.
A simple Jupyter (Lab/Notebook) wrapper of Jason Davies d3 JS wordcloud generator https://www.jasondavies.com/wordcloud/
Demystify Cuisine and Culture From Ingredients using Natural Language Processing and Machine Learning | Python, Pandas, Matplotlib, NLTK, scikit-learn, webscraping, Python Flask-powered API backed by PostgreSQL, Front-end with HTML, CSS, and Javascript
This project is based on displaying the word count in a file using PySpark and Databricks in the cloud.
This is a repository dedicated to generating word cloud images and clean CSV data and frequency files from selected columns of CSV input files.
Fake News! Detector aims to find a way to weed out the real news from the fake news. We create this machine learning model to identify authentic news from the swam of fake news on social media.
Web-based dashboard in Streamlit and Plotly for Sentiment Analysis of Tweets about American Airlines
Web scraping to gain company insights. Scraping and analysing customer review data to uncover findings for British Airways
TweeNspector is a Twitter analyzer written in Python. It enables searching for most frequently used words, interconnections between users and statistics about users.
Building a Spam Filter using Naive Bayes algorithm from scratch.
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