Li et al


Li et al. 184 implement intra-day prediction for a market. Its data was news article bases in form of vector space model, which used sentiment word matrix. Each headline has been labeled for the intra-day return. It used 3-classes e.g. positive, negative, and neutral for the classification by using the Support Vector machine. For experiment data, news were collected from Hong Kong news agency during the 2003-2008. As a comparisons between stock and index they find the 69.98% accuracy for the validation testing.For experiment data, news were collected from Hong Kong news agency during the 2003-2008. As a comparisons between stock and index they find the 69.98% accuracy for the validation testing.

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