"Predicting Stock Price Movements with News Sentiment: An Artificial Neural Network Approach"

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Book	Author(s)	Year	Publisher
Artificial Neural Network Modelling	Subana Shanmuganathan; Sandhya Samarasinghe	1st ed. 2016	Springer International Publishing
Artificial Neural Networks with Java: Tools for Building Neural Network Applications	Igor Livshin	1st ed.	Apress
Artificial Neural Networks with Java: Tools for Building Neural Network Applications	Igor Livshin	2nd ed.	Apress
Neural Assemblies: An Alternative Approach to Artificial Intelligence	G. Palm	1982	Springer Berlin Heidelberg
Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence	Günther Palm	2nd ed. 2022	Springer International Publishing
Artificial Neural Network Applications for Software Reliability Prediction	Manjubala Bisi	2017	John Wiley & Sons
Artificial neural network training and software implementation techniques	Ali Kattan	2011	Nova Science Publishers
Neural network models in artificial intelligence and cognition	Matthew Zeidenberg	1989	Ellis Horwood
Neural Network Models: An Analysis	Philippe de Wilde	1996	Springer Berlin Heidelberg
Predicting loan risk with an inductive learning approach	James A. Gentry	1992	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
Artificial Neural Network for Drug Design, Delivery and Disposition	Munish Puri; Yashwant Pathak; Vijay Kumar Sutariya; Srinivas Tipparaju and Wilfrido Moreno	2016	Academic Press
Nonlinear Identification and Control: A Neural Network Approach	G.P. Liu	2001	Springer London
Animal learning and cognition: a neural network approach /	Schmajuk, Nestor A.	1997.	Cambridge University Press,
Modelling Perception with Artificial Neural Networks	Colin R. Tosh; Graeme D. Ruxton	2010-06	Cambridge University Press
Artificial neural network modeling of water and wastewater treatment processes	A. R. Khataee; Masoud B. Kasiri	2010	Nova Science Publishers
Modular learning in neural networks: a modularized approach to neural network classification	Tomas Hrycej	1992	Wiley
Pricing Options with Futures-Style Margining: A Genetic Adaptive Neural Network Approach	Alan White	2000	Routledge
Artificial Neural Networks	Hugh Cartwright	2nd ed. 2015	Springer New York
Artificial Neural Networks	Hugh Cartwright	3rd ed. 2021	Springer US
Artificial neural networks /	Schalkoff, Robert J.	[1997], ©1997.	McGraw-Hill,
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Predicting Stock Price Movements with News Sentiment: An Artificial Neural Network Approach	Kin-Yip Ho; Wanbin (Walter) Wang	Artificial Neural Network Modelling	Subana Shanmuganathan; Sandhya Samarasinghe	1st ed. 2016	Springer International Publishing
Predicting Stock Price Movement Using Financial News Sentiment	Jiaying Gong; Bradley Paye; Gregory Kadlec; Hoda Eldardiry	Proceedings of the 22nd Engineering Applications of Neural Networks Conference: EANN 2021	Lazaros Iliadis; John Macintyre; Chrisina Jayne; Elias Pimenidis	1st ed. 2021	Springer International Publishing
An Approach to Stock Price Prediction Based on News Sentiment Analysis	Xiao Huang	Emerging Trends in Intelligent and Interactive Systems and Applications: Proceedings of the 5th International Conference on Intelligent, Interactive Systems and Applications (IISA2020)	Madjid Tavana; Nadia Nedjah; Reda Alhajj	1st ed. 2021	Springer International Publishing
Predicting Bacterial Community Assemblages Using an Artificial Neural Network Approach	Peter Larsen; Yang Dai; Frank R. Collart	Artificial Neural Networks	Hugh Cartwright	2nd ed. 2015	Springer New York
A Neural Network Approach to Predicting Stock Exchange Movements using External Factors	Niall O’Connor; Michael G. Madden	Applications and Innovations in Intelligent Systems XIII: Proceedings of AI2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artifical Intelligence	Ann Macintosh; Richard Ellis; Tony Allen	2006	Springer London
Predicting Stock Movements using Social Network	Sunil Saumya; Jyoti Prakash Singh; Prabhat Kumar	Social Media: The Good, the Bad, and the Ugly: 15th IFIP WG 6. 11 Conference on e-Business, e-Services, and e-Society, I3E 2016, Swansea, UK, September 13–15, 2016, Proceedings	Yogesh K. Dwivedi; Matti Mäntymäki; M.N. Ravishankar; Marijn Janssen; Marc Clement; Emma L. Slade; Nripendra P. Rana; Salah Al-Sharhan; Antonis C. Simintiras	1st ed. 2016	Springer International Publishing
Stock Price Movements		Technical Analysis and Stock Market Profits	R Schabacker	2005	Harriman House
Stock price movements		Analyzing the stock market: a quantitative approach	H. Russell Fogler	1973	[Grid]
Predicting the return of the Japanese stock market with artificial neural network	M. Qiu, Y. Song &a; F. Akagi	Industrial Engineering and Management Science: Proceedings of the 2014 International Conference on Industrial Engineering and Management Science (IEMS 2014), August 8-9, 2014, Hong Kong.	Garry Lee	2014	Routledge
Chapter 8: Predicting Stock Prices with Artificial Neural Networks		Python Machine Learning By Example	Yuxi Liu	2020	Packt Publishing, Limited
An Approach to Artificial Neural Network Training	Ireneusz Czarnowski; Piotr Jedrzejowicz	Research and Development in Intelligent Systems XIX: Proceedings of ES2002, the Twenty-second SGAI International Conference on Knowledge Based Systems and Applied Artificial Intelligence	Alun Preece; Frans Coenen	2003	Springer London
Chapter 5: Stock price prediction using Artificial Neural Network (ANN)		Stock price analysis through Statistical and Data Science tools: An Overview	Vinaitheerthan Renganathan	2021	Vinaitheerthan Renganathan
Predicting Stock Market Movements: An Optimized Extreme Learning Approach	Asit Kumar Das; Debahuti Mishra; Kaberi Das	Cognitive Informatics and Soft Computing: Proceeding of CISC 2020	Pradeep Kumar Mallick; Akash Kumar Bhoi; Gonçalo Marques; Victor Hugo C. de Albuquerque	1st ed. 2021	Springer Nature Singapore
Sentiment Analysis on Morphologically Rich Languages: An Artificial Neural Network (ANN) Approach	Nishantha Medagoda	Artificial Neural Network Modelling	Subana Shanmuganathan; Sandhya Samarasinghe	1st ed. 2016	Springer International Publishing
Predicting stock price with regression algorithms		Python Machine Learning By Example	Yuxi (Hayden) Liu	2017	Packt Publishing Ltd
Predicting price movements with logistic regression		Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition	Stefan Jansen	2020	Packt Publishing
Predicting cracking index in flexible pavements: artificial neural network approach	L. Francken; E. Beuving; A.A.A. Molenaar	Reflective Cracking in Pavements: Design and performance of overlay systems	L. Francken; E. Beuving; A.A.A. Molenaar	1996	Routledge
Predicting Customer Churn Using Artificial Neural Network	Sanjay Kumar; Manish Kumar	Engineering Applications of Neural Networks: 20th International Conference, EANN 2019, Xersonisos, Crete, Greece, May 24-26, 2019, Proceedings	John Macintyre; Lazaros Iliadis; Ilias Maglogiannis; Chrisina Jayne	1st ed. 2019	Springer International Publishing
Predicting stock prices with neural networks		Python Machine Learning By Example	Yuxi Liu	2020	Packt Publishing, Limited
Predicting stock prices with neural networks		Python Deep Learning Cookbook	Indra den Bakker	2017	Packt
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Showing 1 to 20 of 100 entries

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