Visualize, share, and keep your favorite music artists on the Web
Streamlit WordCloud React D3
A simple Jupyter (Lab/Notebook) wrapper of Jason Davies d3 JS wordcloud generator https://www.jasondavies.com/wordcloud/
An easy-used wordcloud program made by jieba and python with deleting stopping words and cutting words. it is very easy to use!!!! 支持中文的分词、停用词和词云制作！基于python的结巴jieba分词
The Word Visualization project is designed to help you analyze and visualize text data. By transforming raw text into meaningful visual representations, it allows you to gain insights into word frequency, relationships, and overall patterns within the text.
Web-based dashboard in Streamlit and Plotly for Sentiment Analysis of Tweets about American Airlines
Korean wordcloud generator
TweeNspector is a Twitter analyzer written in Python. It enables searching for most frequently used words, interconnections between users and statistics about users.
"The press Watch" a pour objectif de faciliter la veille et l'analyse d'articles de presse en ligne autour de mots clés choisis (automatisation de la récupération du texte de l'article, analyse des sentiments, nuages de mots et résumé).
Website Summarizer quickly extracts key information and images from web pages, providing concise summaries for easy understanding , faster reading and easy visualization.
"Empower your messaging experience with our spam SMS classifier! Instantly distinguish between spam and legitimate messages, helping you prioritize and manage your inbox effectively."
This repository contains a Python script that generates Word Clouds from text. The script uses matplotlib and wordcloud libraries to create and display the Word Cloud. It's customizable and easy to use. Just update the text in main.py and run the script to see your text transformed into a Word Cloud!
A python script to generate word clouds from text file.
Interacitve web application vizualizing polarization in the US with venn-diagrams of words and feeling thermometer.
The project is a Python implementation of a Text Summarizer. It uses various natural language processing (NLP) techniques to generate a summary of a given text.
WhatsApp Chat Analysis is a process of extracting insights and statistics from a WhatsApp chat conversation. It involves analyzing the text messages, media messages, emojis, links, and other information in the chat to gain valuable insights about the conversation.
A project to utilize NLTK toolkit to classify spam comment on Youtube
CSIT349 - Applied AI Course Final Project
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