cryptosky-report/report.bib
Andy Sotheran 987278da8f boop
2019-04-21 23:54:28 +01:00

219 lines
6.1 KiB
BibTeX

@inproceedings{1,
title={Sentiment analysis of Twitter data for predicting stock market movements},
author={Pagolu, Venkata Sasank and Reddy, Kamal Nayan and Panda, Ganapati and Majhi, Babita},
booktitle={2016 international conference on signal processing, communication, power and embedded system (SCOPES)},
pages={1345--1350},
year={2016},
organization={IEEE},
url = {https://arxiv.org/pdf/1610.09225.pdf}
}
@inproceedings{2,
title={Predicting Bitcoin price fluctuation with Twitter sentiment analysis},
author={Evita Stenqvist, Jacob Lonno},
booktitle={},
pages={},
year={2017},
organization={Diva},
url = {http://www.diva-portal.org/smash/get/diva2:1110776/FULLTEXT01.pdf}
}
@inproceedings{3,
title={Stock Predictions through News Sentiment Analysis},
author={Intel-Corporation},
booktitle={},
pages={},
year={2017},
organization={Code Project},
url = {https://www.codeproject.com/Articles/1201444/Stock-Predictions-through-News-Sentiment-Analysis}
}
@inproceedings{4,
title={Predicting the Price of Bitcoin Using Machine Learning},
author={Sean McNally, Jason Roche, Simon Caton},
booktitle={2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)},
pages={344--347},
year={2018},
organization={IEEE},
url = {https://ieeexplore.ieee.org/abstract/document/8374483}
}
@inproceedings{5,
title={Search Tweets},
author={Twitter},
booktitle={},
pages={},
year={2018},
organization={Twitter Developers},
url = {https://developer.twitter.com/en/docs/tweets/search/overview}
}
@inproceedings{6,
title={Consuming streaming data},
author={Twitter},
booktitle={},
pages={},
year={2018},
organization={Twitter Developers},
url = {https://developer.twitter.com/en/docs/tutorials/consuming-streaming-data.html}
}
@inproceedings{7,
title={Streaming With Tweepy},
author={Joshua Roesslein},
booktitle={},
pages={},
year={2009},
organization={Tweepy},
url = {http://docs.tweepy.org/en/v3.4.0/streaming_how_to.html}
}
@inproceedings{8,
title={Using Linked Data for polarity classification of patients experiences},
author={Mehrnoush Shamsfard, Samira Noferesti},
booktitle={Journal of Biomedical Informatics},
pages={6-19},
year={2015},
organization={Elsevier},
url = {https://www.sciencedirect.com/science/article/pii/S1532046415001276}
}
@inproceedings{9,
title={Social media sentiment analysis: lexicon versus machine learning},
author={Chedia Dhaoui, Cynthia M. Webster, Lay Peng Tan},
booktitle={Journal of Consumer Marketing, Volume 34. Issue 6},
pages={},
year={2017},
organization={Emerald Insight},
url = {https://www.emeraldinsight.com/doi/pdfplus/10.1108/JCM-03-2017-2141}
}
@inproceedings{10,
title={VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text},
author={C.J. Hutto and Eric Gilbert},
booktitle={Eighth International Conference on Weblogs and Social Media (ICWSM-14)},
pages={},
year={2014},
organization={Ann Arbor, MI},
url = {https://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/download/8109/8122}
}
@inproceedings{11,
title={Wisdom of Crowds},
author={Will Kenton},
booktitle={},
pages={},
year={2018},
organization={Investopedia},
url = {https://www.investopedia.com/terms/w/wisdom-crowds.asp}
}
@inproceedings{12,
title={A Beginner's Guide to Neural Networks and Deep Learning},
author={Skymind},
booktitle={A.I. Wiki},
pages={},
year={2018},
organization={Skymind},
url = {https://skymind.ai/wiki/neural-network}
}
@inproceedings{13,
title={What is a neural network},
author={Jonas DeMuro},
booktitle={World of tech},
pages={},
year={2018},
organization={techradar},
url = {https://www.techradar.com/uk/news/what-is-a-neural-network}
}
@inproceedings{14,
title={Supervised dictionary learning},
author={Mairal, J., Ponce, J., Sapiro, G., Zisserman, A. and Bach, F.R., },
booktitle={Advances in neural information processing systems },
pages={1033--1040},
year={2009},
organization={NIPS Proceedings},
url = {http://papers.nips.cc/paper/3448-supervised-dictionary-learning}
}
@inproceedings{15,
title={Learning internal representations by error propagation},
author={Rumelhart, David E and Hinton, Geoffrey E and Williams, Ronald J},
booktitle={},
pages={},
year={1985},
organization={California Univ San Diego La Jolla Inst for Cognitive Science},
url = {https://apps.dtic.mil/docs/citations/ADA164453}
}
@inproceedings{16,
title={A Beginner's Guide to LSTMs and Recurrent Neural Networks},
author={Skymind},
booktitle={A.I. Wiki},
pages={},
year={2018},
organization={Skymind},
url = {https://skymind.ai/wiki/lstm}
}
@inproceedings{17,
title={Recurrent Neural Networks and LSTM},
author={Niklas Donges},
booktitle={},
pages={},
year={2018},
organization={Towards Data Science},
url = {https://towardsdatascience.com/recurrent-neural-networks-and-lstm-4b601dd822a5}
}
@inproceedings{18,
title={A Gentle Introduction to Exploding Gradients in Neural Networks},
author={Jason Brownlee, PhD.},
booktitle={},
pages={},
year={2017},
organization={Machine Larning Mastery},
url = {https://machinelearningmastery.com/exploding-gradients-in-neural-networks/}
}
@inproceedings{19,
title={Recurrent Neural Networks (RNN) - The Vanishing Gradient Problem},
author={Super Data Science Team},
booktitle={},
pages={},
year={2018},
organization={Super Data Science},
url = {https://www.superdatascience.com/blogs/recurrent-neural-networks-rnn-the-vanishing-gradient-problem}
}
@inproceedings{20,
title={Long short-term memory},
author={Hochreiter, Sepp and Schmidhuber, Jurgen},
booktitle={Neural computation, Volume 9. 8},
pages={1735--1780},
year={1997},
organization={MIT Press},
url = {https://www.bioinf.jku.at/publications/older/2604.pdf}
}
@inproceedings{21,
title={Understanding LSTM and its diagrams},
author={Shi Yan},
booktitle={},
pages={},
year={Mar 13, 2016},
organization={Medium},
url = {https://medium.com/mlreview/understanding-lstm-and-its-diagrams-37e2f46f1714}
}
@inproceedings{22,
title={Understanding LSTM Networks},
author={Christopher Olah},
booktitle={},
pages={},
year={2015},
organization={},
url = {https://colah.github.io/posts/2015-08-Understanding-LSTMs}
}