@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},
	}