Identify Stocks on Reddit with SpaCy (NER in Python)
We will learn how to process unstructured text data from Reddit and extract organization names so that any further analysis is automatically classified and results assigned to the correct stocks.

Organizations are mentioned in each subreddit in a variety of formats. Typically we will find two formats:

- Organization name, eg Tesla/Tesla Motors
- Ticker symbol, eg TSLA, tsla, or $TSLA

We also need to be able to differentiate between tickers and other abbreviations/slang -some of these are unclear like AI (AI can mean both artificial intelligence and refer to the ticker symbol for C3.ai).

So, we need a reasonable competent NER process to accurately classify our data.

🤖 70% Discount on the NLP With Transformers in Python course:
https://bit.ly/3DFvvY5

Reddit API video: https://youtu.be/FdjVoOf9HN4
/r/investing data: https://github.com/jamescalam/transformers/blob/main/course/named_entity_recognition/data/reddit_investing.csv
Medium article: https://towardsdatascience.com/ner-for-extracting-stock-mentions-on-reddit-aa604e577be
(Free version if you don't have Medium membership): https://towardsdatascience.com/ner-for-extracting-stock-mentions-on-reddit-aa604e577be?sk=d16305d40b18e7955a0665633182d2b4

Thanks for watching!