Using Tweets for single stock price prediction
Using Tweets for single stock price prediction Social media, as the collective form of individual opinions and emotions, has very profound though maybe subtle relationship with social events. This is particularly true when it comes to public Tweets and stock trading. In fact, research has shown that when it comes to financial decisions, people are significantly driven by emotions [1]. These emotions, together with people’s opinions, are in real-time reflected by tweets. As a result, by analyzing relevant tweets using proper machine learning algorithms, one could grasp the public’s sentiment as well as attitude towards the stock’s price of interest, which could intuitively predict the next move of it. Some previous work has been done to show that tweets can indeed reflect stock price change. Bollen. Etc (2010) randomly selected…