A sentiment analysis-based machine learning approach for financial market prediction via news disclosures. Chiong, R., Fan, Z., Hu, Z., Adam, M. T. P., Lutz, B., & Neumann, D. In Aguirre, H. E. & Takadama, K., editors, GECCO (Companion), pages 278-279, 2018. ACM. Link Paper bibtex @inproceedings{conf/gecco/ChiongFHAL018,
added-at = {2018-11-21T00:00:00.000+0100},
author = {Chiong, Raymond and Fan, Zongwen and Hu, Zhongyi and Adam, Marc T. P. and Lutz, Bernhard and Neumann, Dirk},
biburl = {https://www.bibsonomy.org/bibtex/2a276c3a2488d52d577c4b4009b8bd1b7/dblp},
booktitle = {GECCO (Companion)},
crossref = {conf/gecco/2018c},
editor = {Aguirre, Hernán E. and Takadama, Keiki},
ee = {https://doi.org/10.1145/3205651.3205682},
interhash = {7cec1ae030f7b21afd6f2234aa62a98c},
intrahash = {a276c3a2488d52d577c4b4009b8bd1b7},
keywords = {dblp},
pages = {278-279},
publisher = {ACM},
timestamp = {2018-11-22T11:48:58.000+0100},
title = {A sentiment analysis-based machine learning approach for financial market prediction via news disclosures.},
url = {http://dblp.uni-trier.de/db/conf/gecco/gecco2018c.html#ChiongFHAL018},
year = 2018
}
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