Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Projects | 1,056 | 7 days ago | 7 | mit | Python | |||||
🪐 End-to-end NLP workflows from prototype to production | ||||||||||
Tldrstory | 316 | 2 days ago | 6 | August 18, 2021 | 7 | apache-2.0 | Python | |||
📊 Semantic search for headlines and story text | ||||||||||
Summarizer | 236 | a year ago | mit | Python | ||||||
A Reddit bot that summarizes news articles written in Spanish or English. It uses a custom built algorithm to rank words and sentences. | ||||||||||
Comments Generator | 57 | a year ago | mit | Python | ||||||
A Reddit bot that generates new context-aware comments using Markov chains trained from a set of given users or subreddits comments history. | ||||||||||
Chatbot | 48 | 9 months ago | 2 | apache-2.0 | Jupyter Notebook | |||||
Hybrid Conversational Bot based on both neural retrieval and neural generative mechanism with TTS. | ||||||||||
Predict Subreddit | 32 | 9 days ago | apache-2.0 | Jupyter Notebook | ||||||
NLP model that predicts subreddit based on the title of a post | ||||||||||
Redditcleaner | 31 | 1 | 3 years ago | 4 | April 14, 2020 | mit | Python | |||
Cleans Reddit Text Data :scroll: :broom: | ||||||||||
Turingadvice | 20 | 2 years ago | 1 | other | Python | |||||
Evaluating Machines by their Real-World Language Use | ||||||||||
Pydata2019 Nlp System | 17 | 4 years ago | 1 | apache-2.0 | Python | |||||
Source code, materials and notebooks for the workshop @ PyData London 2019 - https://pydata.org/london2019/schedule/presentation/14/ | ||||||||||
Reddittextclassification | 12 | 7 months ago | mit | Jupyter Notebook | ||||||
Reddit Gender Text-Classification. |
This project takes submissions about Ukraine from subreddits like r/CombatFootage, r/UkraineWarVideoReport, r/ukraine, r/worldnews, r/UkraineInvasionVideos and r/UkrainevRussia and translates them into a heatmap where most of the stuff related to the war in Ukraine is happening. You can see that heatmap here. It updates every 30 minutes.
The heatmap is sadly not a good way of visualizing the war in ukraine, and activity on reddit is slowly dying. For these reasons I decided to shut the automatic updates down.
Install dependencies with pip install dotenv geopy praw
NOTE: You will also have to install my folium fork.
Create .env
file and populate it with:
REDDIT_USERNAME=<your reddit username>
REDDIT_PASSWORD=<your reddit password>
REDDIT_API_ID=<your reddit application id>
REDDIT_API_SECRECT=<your reddit application secret>
Create the empty directory data/historic
Run with python src/main.py