@article{(Open Science Index):https://publications.waset.org/pdf/9999432, title = {Stock Market Prediction by Regression Model with Social Moods}, author = {Masahiro Ohmura and Koh Kakusho and Takeshi Okadome}, country = {}, institution = {}, abstract = {This paper presents a regression model with autocorrelated errors in which the inputs are social moods obtained by analyzing the adjectives in Twitter posts using a document topic model, where document topics are extracted using LDA. The regression model predicts Dow Jones Industrial Average (DJIA) more precisely than autoregressive moving-average models. }, journal = {International Journal of Industrial and Manufacturing Engineering}, volume = {8}, number = {10}, year = {2014}, pages = {3206 - 3209}, ee = {https://publications.waset.org/pdf/9999432}, url = {https://publications.waset.org/vol/94}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 94, 2014}, }