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Predicting future direction of stock markets using the historical data has been a fundamental component in financial forecasting.
Deep Adaptive Input Normalization for Time Series Forecasting
Passalis, N.; Tefas, A.; Kanniainen, J.; Gabbouj, M.; and Iosifidis, A. 2019 · 1902
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FinBERT: Financial Sentiment Analysis with Pre-trained Language Models
Araci, D. 2019 · 1908
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Convolutional networks for images, speech, and time series
LeCun, Y.; Bengio, Y.; et al. 1995 · 1995
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Long short-term memory
Hochreiter, S.; and Schmidhuber, J. 1997 · 1997
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Generalizing Translation Models in the Probabilistic Relevance Framework
Rekabsaz, N.; Lupu, M.; Hanbury, A.; and Zuccon, G. 2016 · 2016
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Stock market’s price movement prediction with LSTM neural networks
Nelson, D. M. Q.; Pereira, A. C. M.; and de Oliveira, R. A. 2017 · 2017
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Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models
Rekabsaz, N.; Lupu, M.; Baklanov, A.; Dür, A.; Andersson, L.; and Hanbury, A. 2017 · 2017
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Exploration of a Threshold for Similarity Based on Uncertainty in Word Embedding
Rekabsaz, N.; Lupu, M.; and Hanbury, A. 2017 · 2017
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Attention Is All You Need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, L.; and Polosukhin, I. 2017 · 2017
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Exploiting investors social network for stock prediction in China’s market
Zhang, X.; Shi, J.; Wang, D.; and Fang, B. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
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A Deep Learning Model for Predicting Buy and Sell Recommendations in Stock Exchange of Thailand using Long Short-Term Memory
Sanboon, T.; Keatruangkamala, K.; and Jaiyen, S. 2019 · 2019
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BERT for Stock Market Sentiment Analysis
Sousa, M. G.; Sakiyama, K.; Rodrigues, L. d. S.; Moraes, P. H.; Fernandes, E. R.; and Matsubara, E. T. 2019 · 2019
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Not All Relevance Scores Are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models
Cohen, D.; Mitra, B.; Lesota, O.; Rekabsaz, N.; and Eickhoff, C. 2021 · 2021
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Text Mining of Stocktwits Data for Predicting Stock Prices
Jaggi, M.; Mandal, P.; Narang, S.; Naseem, U.; and Khushi, M. 2021 · 2021
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A CNN-BiLSTM-AM method for stock price prediction
Lu, W.; Li, J.; Wang, J.; and Qin, L. 2021 · 2021
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Learning transferable visual models from natural language supervision
Radford, A.; Kim, J. W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al. 2021 · 2021
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AEI-DNET: A Novel DenseNet Model with an Autoencoder for the Stock Market Predictions Using Stock Technical Indicators
Albahli, S.; Nazir, T.; Mehmood, A.; Irtaza, A.; Alkhalifah, A.; and Albattah, W. 2022 · 2022
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Portfolio Optimization with 2D Relative-Attentional Gated Transformer
Kim, T. W.; and Khushi, M. 2020 · 2020
Cited alongside, same era.
Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis
Nabipour, M.; Nayyeri, P.; Jabani, H.; S., S.; and Mosavi, A. 2020 · 2020
Cited alongside, same era.
Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis
Naseem, U.; Razzak, I.; Musial, K.; and Imran, M. 2020 · 2020
Cited alongside, same era.
LSTM based decision support system for swing trading in stock market
Banik, S.; Sharma, N.; Mangla, M.; Mohanty, S. N.; and S., S. 2022 · 2022
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Convolutional neural network for stock trading using technical indicators
Chandar, S. K. 2022 · 2022
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S_I_LSTM: stock price prediction based on multiple data sources and sentiment analysis
Wu, S.; Liu, Y.; Zou, Z.; and Weng, T.-H. 2022 · 2022
Later among the works it cites.