apatry / word-of-mouth

Mine music recommendations from reddit.

Word of Mouth

Word of mouth is meant to be a recommendation engine powered by social recommendations. The first milestone in this direction will be to parse recommendations on r/ifyoulikeblank similar to:

[IIL] Alt-J, Glass Animals, Florence + The Machine, [WEWIL?]

Which should be read as If I like Alt-J, Glass Animals and Florence + The Machine, what else will I like. The community than answer with band or songs recommendations. You can see this thread for yourself here.

This is my playground to explore:

• Modern python development environment;
• Crawler and dataset generation;
• Semi-automatic label annotation;
• Leveraging an external onthology of artists and songs;
• Tagging and hopefully attention models;
• Writing a reddit bot for the sake of it.

And now I just started a detour toward text generation to build a band name generator.

Reddit Crawler

You can look in src/crawler.py to see how to crawl a subreddit using the pushshift api (more details in this post.

Dataset Generation from Wikidata

You can look in wordofmouth/gazetteer.py to see how to generate datasets from wikidata (more details in this post).

Band Name Generator

You can look in wordofmouth/dagster/bandaid.py to see how to generate band names using a recurrent neural network. More details in this post.

Random Developer Notes

This repo uses poetry and pre-commit. The first time you check out the repository, please run poetry run pre-commit install to make sure only valid code is pushed.