Exploiting Twitter Moods to Boost Financial Trend Prediction Based on Deep Network Models

Yifu Huang, Kai Huang, Yang Wang, Hao Zhang, Jihong Guan, Shuigeng Zhou. Exploiting Twitter Moods to Boost Financial Trend Prediction Based on Deep Network Models. In De-Shuang Huang, Kyungsook Han, Abir Hussain, editors, Intelligent Computing Methodologies - 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part III. Volume 9773 of Lecture Notes in Computer Science, pages 449-460, Springer, 2016. [doi]

@inproceedings{HuangHWZGZ16,
  title = {Exploiting Twitter Moods to Boost Financial Trend Prediction Based on Deep Network Models},
  author = {Yifu Huang and Kai Huang and Yang Wang and Hao Zhang and Jihong Guan and Shuigeng Zhou},
  year = {2016},
  doi = {10.1007/978-3-319-42297-8_42},
  url = {http://dx.doi.org/10.1007/978-3-319-42297-8_42},
  researchr = {https://researchr.org/publication/HuangHWZGZ16},
  cites = {0},
  citedby = {0},
  pages = {449-460},
  booktitle = {Intelligent Computing Methodologies - 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part III},
  editor = {De-Shuang Huang and Kyungsook Han and Abir Hussain},
  volume = {9773},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-42296-1},
}