Porshnev, Alexander - 2016
In our paper, we analyze the possibility of improving the prediction of stock market indicators by adding information about public mood derived from Twitter posts. To estimate public mood, we analyzed the frequencies of 175 emotional markers, words, emoticons, acronyms and abbreviations in more...