By analyzing breaking financial news articles and focusing on specific parts of speech, portfolio selection, term weighting and even article sentiment, the AZFinText system becomes a powerful tool and is a radically different way of looking at stock market prediction.
[3] Using the premise that IBM has more in common with Microsoft than GM, AZFinText studied the effect of varying peer-based training sets.
[5] Using the premise that an author can unwittingly influence market trades simply by the terms they use, AZFinText was tested using tone and polarity features.
[6] From this work, it was found that planted, announcing, front, smaller and crude had the highest positive impact on stock price.
Some of the more notable ones include The Wall Street Journal,[7] MIT's Technology Review,[8] Dow Jones Newswire,[9] WBIR[10] in Knoxville, TN, Slashdot[11] and other media outlets.