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	pages={1345--1350},
	year={2016},
	organization={IEEE},
	url = {https://arxiv.org/pdf/1610.09225.pdf}
}

@inproceedings{nlAeiBTCPSO,
	title={Non-linear autoregressive with exogeneous input (NARX) Bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators},
	author={Indera, NI and Yassin, IM and Zabidi, A and Rizman, ZI},
	booktitle={Journal of Fundamental and Applied Sciences. Vol.35, No.35},
	pages={791--808},
	year={2017},
	organization={University of El Oued},
	url = {https://www.ajol.info/index.php/jfas/article/viewFile/165614/155073}
}

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@inproceedings{BTCFTsent,
	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{BTCRNN,
	title={Predict Tomorrows Bitcoin (BTC) Price with Recurrent Neural Networks},
	author={Orhan Gazi Yalcin},
	booktitle={},
	pages={},
	year={2018},
	organization={Towards Data Science},
	url = {https://towardsdatascience.com/using-recurrent-neural-networks-to-predict-bitcoin-btc-prices-c4ff70f9f3e4}
}

@inproceedings{StPNSentA,
	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{MLBTCpred,
	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{SearchTweets,
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	year={2018},
	organization={Twitter Developers},
	url = {https://developer.twitter.com/en/docs/tweets/search/overview}
}

@inproceedings{ConStream,
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	pages={},
	year={2018},
	organization={Twitter Developers},
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}

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@inproceedings{PolClassPatients,
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	year={2015},
	organization={Elsevier},
	url = {https://www.sciencedirect.com/science/article/pii/S1532046415001276}
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@inproceedings{LexiconSocSent,
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	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}
}

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	pages={},
	year={2014},
	organization={Ann Arbor, MI},
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	year={2018},
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}

@inproceedings{NNDLBegin,
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	author={Skymind},
	booktitle={A.I. Wiki},
	pages={},
	year={2018},
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	url = {https://skymind.ai/wiki/neural-network}
}

@inproceedings{WhatNN,
	title={What is a neural network},
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	booktitle={World of tech},
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	year={2018},
	organization={techradar},
	url = {https://www.techradar.com/uk/news/what-is-a-neural-network}
}

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@inproceedings{BeginLSTMRNN,
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	booktitle={A.I. Wiki},
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	year={2018},
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	url = {https://skymind.ai/wiki/lstm}
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@inproceedings{RNNLSTMtds,
	title={Recurrent Neural Networks and LSTM},
	author={Niklas Donges},
	booktitle={},
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	year={2018},
	organization={Towards Data Science},
	url = {https://towardsdatascience.com/recurrent-neural-networks-and-lstm-4b601dd822a5}
}

@inproceedings{NNEgrad,
	title={A Gentle Introduction to Exploding Gradients in Neural Networks},
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	organization={Machine Larning Mastery},
	url = {https://machinelearningmastery.com/exploding-gradients-in-neural-networks/}
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	author={Super Data Science Team},
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	year={2018},
	organization={Super Data Science},
	url = {https://www.superdatascience.com/blogs/recurrent-neural-networks-rnn-the-vanishing-gradient-problem}
}

@inproceedings{LSTM,
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@inproceedings{LSTMdia,
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}

@inproceedings{LSTMmaths,
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	url = {https://colah.github.io/posts/2015-08-Understanding-LSTMs}
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@inproceedings{LSTMforetime,
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	year={2018},
	organization={Towards Data Science},
	url = {https://towardsdatascience.com/using-lstms-to-forecast-time-series-4ab688386b1f}
}

@inproceedings{TensorFlow,
	title={Tensorflow: A system for large-scale machine learning},
	author={Abadi, Martin and Barham, Paul and Chen, Jianmin and Chen, Zhifeng and Davis, Andy and Dean, Jeffrey and Devin, Matthieu and Ghemawat, Sanjay and Irving, Geoffrey and Isard, Michael and others},
	booktitle={12th Symposium on Operating Systems Design and Implementation 16)},
	pages={265--283},
	year={2016},
	url={https://www.usenix.org/system/files/conference/osdi16/osdi16-abadi.pdf}
}

@inproceedings{OptSGD,
	title={Optimization: Stochastic Gradient Descent},
	author={Stanford},
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	url={http://deeplearning.stanford.edu/tutorial/supervised/OptimizationStochasticGradientDescent}
}

@inproceedings{Optimisers,
	title={What are differences between update rules like AdaDelta, RMSProp, AdaGrad, and Adam},
	author={Rajarshee Mitra},
	booktitle={},
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	year={2016},
	organization={Quora},
	url={https://www.quora.com/What-are-differences-between-update-rules-like-AdaDelta-RMSProp-AdaGrad-and-AdaM}
}

@inproceedings{OptVariants,
	title={Variants of rmsprop and adagrad with logarithmic regret bounds},
	author={Mukkamala, Mahesh Chandra and Hein, Matthias},
	booktitle={Proceedings of the 34th International Conference on Machine Learning-Volume 70},
	pages={2545--2553},
	year={2017},
	organization={JMLR.org},
	url={https://arxiv.org/pdf/1706.05507.pdf}
}

@inproceedings{OverOpt,
	title={Overview of different Optimizers for neural networks},
	author={Renu Khandelwal},
	booktitle={},
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	year={2019},
	organization={Medium},
	url={https://medium.com/datadriveninvestor/overview-of-different-optimizers-for-neural-networks-e0ed119440c3}
}

@inproceedings{Adam,
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	booktitle={arXiv preprint arXiv:1412.6980},
	pages={},
	year={2014},
	organization={arXiv},
	url={https://arxiv.org/pdf/1412.6980.pdf}
}

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	title={An empirical study of the naive Bayes classifier},
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	pages={41--46},
	year={2001},
	url={https://www.cc.gatech.edu/~isbell/reading/papers/Rish.pdf}
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@inproceedings{TFIDFBOW,
	title={A Beginner's Guide to Bag of Words and TF-IDF},
	author={Skymind},
	booktitle={A.I Wiki},
	pages={},
	year={2018},
	organization={Skymind},
	url={https://skymind.ai/wiki/bagofwords-tf-idf}
}

@inproceedings{SpamCScratch,
	title={Spam Classifier in Python from scratch},
	author={Tejan Karmali},
	booktitle={},
	pages={},
	year={Aug 2, 2017},
	organization={Towards Data Science},
	url={https://towardsdatascience.com/spam-classifier-in-python-from-scratch-27a98ddd8e73}
}

@inproceedings{TweepyDoc,
	title={Tweepy Documentation},
	author={Joshua Roesslein},
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	year={2009},
	url={http://docs.tweepy.org/en/v3.5.0/}
}

@inproceedings{TFvsThe,
	title={Tensorflow Vs. Theano: What Do Researchers Prefer As An Artificial Intelligence Framework},
	author={Srishti Deoras},
	booktitle={},
	volume={},
	number={},
	pages={},
	year={2017},
	organization={Analytics India},
	url={https://www.analyticsindiamag.com/tensorflow-vs-theano-researchers-prefer-artificial-intelligence-framework}
}

@inproceedings{btcCharts,
	title={},
	author={bitcoincharts},
	booktitle={},
	pages={},
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	organization={Bitcoin Charts},
	url={http://api.bitcoincharts.com/v1/csv/}
}

@inproceedings{langdectNLTK,
	title={Detecting Text Language With Python and NLTK},
	author={Alejandro Nolla},
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	year={},
	organization={Alejandro Nolla Blog},
	url={http://blog.alejandronolla.com/2013/05/15/detecting-text-language-with-python-and-nltk/}
}

@inproceedings{LanNgram,
	title={A tutorial on Automatic Language Identification - ngram based},
	author={Practical Cryptography},
	booktitle={},
	pages={},
	year={},
	organization={Practical Cryptography},
	url={http://practicalcryptography.com/miscellaneous/machine-learning/tutorial-automatic-language-identification-ngram-b/}
}

@inproceedings{StemvsLem,
	title={What is the difference between stemming and lemmatization},
	author={Tita Risueno},
	booktitle={},
	pages={},
	year={Feb 26, 2018},
	organization={Bitext},
	url={https://blog.bitext.com/what-is-the-difference-between-stemming-and-lemmatization/}
}

@inproceedings{RegularisationSc,
	title={Neural Network Bias: Bias Neuron, Overfitting and Underfitting},
	author={Missing Link AI},
	booktitle={},
	pages={},
	year={},
	organization={Missing Link AI},
	url={https://missinglink.ai/guides/neural-network-concepts/neural-network-bias-bias-neuron-overfitting-underfitting/}
}

@inproceedings{dropoutM,
	title={Dropout in (Deep) Machine learning},
	author={Amar Budhiraja},
	booktitle={},
	pages={},
	year={Dec 15, 2016},
	organization={Medium},
	url={https://medium.com/@amarbudhiraja/https-medium-com-amarbudhiraja-learning-less-to-learn-better-dropout-in-deep-machine-learning-74334da4bfc5}
}

@inproceedings{dropoutKeras,
	title={Dropout},
	author={Keras Team},
	booktitle={},
	pages={},
	year={},
	organization={Keras},
	url={https://keras.io/layers/core/#dropout}
}

@inproceedings{NValgor,
	title={Naive Bayes},
	author={scikit-learn developers},
	booktitle={},
	pages={},
	year={},
	organization={Scikit-Learn},
	url={https://scikit-learn.org/stable/modules/naive_bayes.html}
}

@inproceedings{SpamOrHamGit,
	title={Spam-or-Ham},
	author={Tejan Karmali - tejank10},
	booktitle={},
	pages={},
	year={Aug 2, 2017},
	organization={Github},
	url={https://github.com/tejank10/Spam-or-Ham}
}

@inproceedings{MAPE,
	title={Mean absolute percentage error (MAPE)},
	author={Stephanie},
	booktitle={},
	pages={},
	year={Sep 8, 2017},
	organization={Statistics HowTo},
	url={https://www.statisticshowto.datasciencecentral.com/mean-absolute-percentage-error-mape/}
}

@inproceedings{RMSEMAE,
	title={Choosing the Right Metric for Evaluating Machine Learning Models},
	author={Alvira Swalin},
	booktitle={},
	pages={},
	year={Apr 7, 2018},
	organization={Medium},
	url={https://medium.com/usf-msds/choosing-the-right-metric-for-machine-learning-models-part-1-a99d7d7414e4}
}

@inproceedings{MSE,
	title={Machine learning: an introduction to mean squared error and regression lines},
	author={Moshe Binieli},
	booktitle={},
	pages={},
	year={Oct 16, 2018},
	organization={Medium},
	url={https://medium.freecodecamp.org/machine-learning-mean-squared-error-regression-line-c7dde9a26b93}
}

@inproceedings{MBE,
	title={MAE and RMSE Which Metric is Better},
	author={JJ},
	booktitle={},
	pages={},
	year={Mar 23, 2016},
	organization={Medium},
	url={https://medium.com/human-in-a-machine-world/mae-and-rmse-which-metric-is-better-e60ac3bde13d}
}

@inproceedings{TwitterTerms,
	title={Developer Agreement and Policy},
	author={Twitter},
	booktitle={},
	pages={},
	year={Effective: May 25, 2018},
	organization={Twitter Corp.},
	url={https://developer.twitter.com/en/developer-terms/agreement-and-policy.html}
}