#Wordcloud
Showing 22 of 22 repositories tagged #wordcloud, ranked by stars
Universal Reddit Scraper - A comprehensive Reddit scraping/archival command-line tool.
💬 Python scripts to parse Messenger, Hangouts, WhatsApp and Telegram chat logs into DataFrames.
A comprehensive Data and Text Mining workflow for submissions and comments from any given public subreddit.
Book on basic to intermediate level Python projects
A Reddit bot that summarizes news articles written in Spanish or English. It uses a custom built algorithm to rank words and sentences.
It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization
Visualization Module for Natural Language Processing
☁️ Simple React + D3 wordcloud component with powerful features.
bilibili弹幕分析，包含爬虫、词云分析、词频分析、情感分析、构建衍生指标，可视化
word cloud generator in julia
Simple examples of text data visualization. 文本人物可视化，词云、人物关系图谱
Wordclouds in go
Local-first dashboard for Codex sessions with trends, token usage, tools, and word cloud | Codex 本地数据分析仪表盘
一行代码搞定 Python 图表中文展示
This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it.
Python word cloud library for use within Jupyter notebook and Python apps.
把一整年的微信聊天记录，生成一份可滚动、可分享的年度报告 - Generate a Spotify Wrapped-style annual report from your WeChat chat history.
Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.
This is demo repo to demostrate how to scrape post data from Facebook by Python with library facebook_scraper. And then use Azure Text Analytics to perform sentiment analysis for post text content.
🦠 Covid19 Visualization & Analysis is a community-driven Python project for exploring, visualizing, and analyzing global Covid-19 data. It features interactive notebooks, scripts, and guides to help users uncover trends, create impactful visualizations, and share insights for research, education, and public awareness.
A simple Panel-based dashboard visualizing geotagged tweets with hvplot and Datashader.