Could you elaborate on news & NLP in regards to stocks?
We tried sentiment analysis in uni a few years ago and had no good results:
The idea was essentially: news says: 'stock A is great' -> it goes up shortly thereafter
We tested our algorithms against classifying Amazon reviews & Tweets by sentiment. Those are filled with sentiment and easy to detect if it is a 5 star review or a 1 star review. The news articles we parsed all had near neutral sentiment. We ended up building a classifier that could detect the news category of an article quite easily instead.
My initial idea was sparked by the Gulf spill and the subsequent dip in BP, I wanted to detect and capitalise big events like that, but the news sources we parsed always seemed to significantly lag behind the stock movement, too.
We tried sentiment analysis in uni a few years ago and had no good results:
The idea was essentially: news says: 'stock A is great' -> it goes up shortly thereafter
We tested our algorithms against classifying Amazon reviews & Tweets by sentiment. Those are filled with sentiment and easy to detect if it is a 5 star review or a 1 star review. The news articles we parsed all had near neutral sentiment. We ended up building a classifier that could detect the news category of an article quite easily instead.
My initial idea was sparked by the Gulf spill and the subsequent dip in BP, I wanted to detect and capitalise big events like that, but the news sources we parsed always seemed to significantly lag behind the stock movement, too.