Prediction and Trading of Dow Jones from Twitter: A Boosting Text Mining Method with Relevant Tweets Identification

Gianluca Moro, Roberto Pasolini, Giacomo Domeniconi, Andrea Pagliarani, Andrea Roli. Prediction and Trading of Dow Jones from Twitter: A Boosting Text Mining Method with Relevant Tweets Identification. In Ana L. N. Fred, David Aveiro, Jan L. G. Dietz, Kecheng Liu, Jorge Bernardino, Ana Salgado, Joaquim Filipe, editors, Knowledge Discovery, Knowledge Engineering and Knowledge Management - 9th International Joint Conference, IC3K 2017, Funchal, Madeira, Portugal, November 1-3, 2017, Revised Selected Papers. Volume 976 of Communications in Computer and Information Science, pages 26-42, Springer, 2017. [doi]

@inproceedings{MoroPDPR17,
  title = {Prediction and Trading of Dow Jones from Twitter: A Boosting Text Mining Method with Relevant Tweets Identification},
  author = {Gianluca Moro and Roberto Pasolini and Giacomo Domeniconi and Andrea Pagliarani and Andrea Roli},
  year = {2017},
  doi = {10.1007/978-3-030-15640-4_2},
  url = {https://doi.org/10.1007/978-3-030-15640-4_2},
  researchr = {https://researchr.org/publication/MoroPDPR17},
  cites = {0},
  citedby = {0},
  pages = {26-42},
  booktitle = {Knowledge Discovery, Knowledge Engineering and Knowledge Management - 9th International Joint Conference, IC3K 2017, Funchal, Madeira, Portugal, November 1-3, 2017, Revised Selected Papers},
  editor = {Ana L. N. Fred and David Aveiro and Jan L. G. Dietz and Kecheng Liu and Jorge Bernardino and Ana Salgado and Joaquim Filipe},
  volume = {976},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-15640-4},
}