Stock directionality forecasts are extremely useful in the financial market aiding in more informed trading decisions. However, it is difficult due to the highly volatile nature of the stock market.
The amount of textual information has been increasing at an enormous rate in the digital world. This has led to the development of efficient indexing mech- anisms for easier retrieval. One of the primal attributes for categorizing texts is based on their domain.