1.5 SUMMARY AND DISCUSSIONS
The development of news analytics and its applications to finance through sentiment analysis is gaining progressive acceptance within the investment community. A growing number of academic studies have been conducted; in this chapter we have reviewed these in a summary form. Research by service providers of data and content for the finance industry is also discussed in this chapter and we have identified the applications of news analytics to high-frequency and low-frequency trading as well as in risk control and compliance. The study of news analytics draws upon research from a number of disciplines including natural language processing, artificial intelligence (AI), pattern recognition, text mining, information engineering and financial engineering. We believe news analytics will soon become an important area of study within financial analytics.
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