As a data scientist, one of my interests is the stock market. I used to
focus on using Recurrent Neural Networks (RNNs) for stock price
predictions. In fact, the psychology and behavior of stock market
investors will affect the stock market. The comments in the stock
review forum contain a lot of information about the sentiment and
behavior of stock investors, which is of great significance to stock
research. Relevant information from financial news and stock review
forums has become an important factor influencing investor
psychology and behavior. Therefore, sentiment analysis is useful in
stock research.
Firstly, we could collect information from some stock review forums,
analyze the poster's sentiment, and apply text classification
technology to extract investor sentiment index in forum stock reviews.
Then we combine with relevant financial information, study the impact
of online stock reviews on the stock market from the perspectives of
the market and individual stock data. Finally, we could use Recurrent
Neural Network (RNN) to make stock price predictions.
It's a challenge to adopt sentiment analysis to stock price analysis. For
example, the extent to which financial news affects investors is
difficult to quantify. It is also difficult to extract investor sentiment
indices using text classification techniques.
