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Financial sentiment analysis is a challenging task due to the specialized language and lack of labeled data in that domain.
Bernhard Lutz, Nicolas Pröllochs, and Dirk Neumann. 2018 · 1901
Earlier work this paper cites.
How to Fine-Tune BERT for Text Classification?
Chi Sun, Xipeng Qiu, Yige Xu, and Xuanjing Huang. 2019 · 1905
Earlier work this paper cites.
Financial Aspect and Sentiment Predictions with Deep Neural Networks. 1973–1977
Guangyuan Piao and John G Breslin. 2018 · 1977
Earlier work this paper cites.
The Efficient Market Hypothesis and Its Critics
Burton G Malkiel. 2003 · 2003
Earlier work this paper cites.
Using appraisal groups for sentiment analysis. In Proceedings of the 14th ACM international conference on Information and knowledge management - CIKM '05 . ACM Press
Casey Whitelaw, Navendu Garg, and Shlomo Argamon. 2005 · 2005
Earlier work this paper cites.
Delta TFIDF: An Improved Feature Space for Sentiment Analysis.. In ICWSM , Eytan Adar, Matthew Hurst, Tim Finin, Natalie S. Glance, Nicolas Nicolov, and Belle L. Tseng (Eds.). The AAAI Press
Justin Martineau and Tim Finin. 2009 · 2009
Earlier work this paper cites.
When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10-Ks
Tim Loughran and Bill Mcdonald. 2011 · 2010
Earlier work this paper cites.
Sentiment Analysis and Opinion Mining
Bing Liu. 2012 · 2012
Earlier work this paper cites.
News impact on stock price return via sentiment analysis
Xiaodong Li, Haoran Xie, Li Chen, Jianping Wang, and Xiaotie Deng. 2014 · 2014
Earlier work this paper cites.
Good debt or bad debt: Detecting semantic orientations in economic texts
Pekka Malo, Ankur Sinha, Pekka Korhonen, Jyrki Wallenius, and Pyry Takala. 2014 · 2014
Earlier work this paper cites.
Glove: Global Vectors for Word Representation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Association for Computational Linguistics, Doha, Qatar, 1532–1543
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Earlier work this paper cites.
Twitter Sentiment Analysis with Deep Convolutional Neural Networks. In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15 . ACM Press
Aliaksei Severyn and Alessandro Moschitti. 2015 · 2015
Cited alongside, same era.
Yukun Zhu, Ryan Kiros, Richard Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015 · 2015
Cited alongside, same era.
Machine Learning Approach for Sentiment Analysis
Basant Agarwal and Namita Mittal. 2016 · 2016
Cited alongside, same era.
Textual Analysis in Accounting and Finance: A Survey
Tim Loughran and Bill Mcdonald. 2016 · 2016
Cited alongside, same era.
Classification of sentiment reviews using n-gram machine learning approach
Abinash Tripathy, Ankit Agrawal, and Santanu Kumar Rath. 2016 · 2016
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Later among the works it cites.
Universal Language Model Fine-tuning for Text Classification
Jeremy Howard and Sebastian Ruder. 2018 · 2018
Later among the works it cites.
Practical Text Classification With Large Pre-Trained Language Models
Neel Kant, Raul Puri, Nikolai Yakovenko, and Bryan Catanzaro. 2018 · 2018
Later among the works it cites.
Sentiment analysis of financial news articles using performance indicators
Srikumar Krishnamoorthy. 2018 · 2018
Later among the works it cites.
FinSSLx: A Sentiment Analysis Model for the Financial Domain Using Text Simplification. In 2018 IEEE 12th International Conference on Semantic Computing (ICSC) . IEEE, 318–319
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Oscar Araque, Ignacio Corcuera-Platas, J. Fernando Sánchez-Rada, and Carlos A. Iglesias. 2017 · 2017
Cited alongside, same era.
Textual analysis and machine leaning: Crack unstructured data in finance and accounting
Li Guo, Feng Shi, and Jun Tu. 2016 · 2017
Cited alongside, same era.
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Mathias Kraus and Stefan Feuerriegel. 2017 · 2017
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Bryan McCann, James Bradbury, Caiming Xiong, and Richard Socher. 2017 · 2017
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Stephen Merity, Nitish Shirish Keskar, and Richard Socher. 2017 · 2017
Cited alongside, same era.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Macedo Maia, Andr� Freitas, and Siegfried Handschuh. 2018a · 2018
Later among the works it cites.
Companion of the The Web Conference 2018 on The Web Conference 2018, {WWW} 2018, Lyon , France, April 23-27, 2018. ACM
Macedo Maia, Siegfried Handschuh, André Freitas, Brian Davis, Ross Mcdermott, Manel Zarrouk, Alexandra Balahur, and Ross Mc-Dermott. 2018b · 2018
Later among the works it cites.
Deep Learning: A Critical Appraisal
G. Marcus. 2018 · 2018
Later among the works it cites.
Deep contextualized word representations
Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
Later among the works it cites.
Big Data: Deep Learning for financial sentiment analysis
Sahar Sohangir, Dingding Wang, Anna Pomeranets, and Taghi M Khoshgoftaar. 2018 · 2018
Later among the works it cites.
Financial Aspect-Based Sentiment Analysis using Deep Representations
Steve Yang, Jason Rosenfeld, and Jacques Makutonin. 2018 · 2018
Later among the works it cites.
Deep learning for sentiment analysis: A survey
Lei Zhang, Shuai Wang, and Bing Liu. 2018 · 2018
Later among the works it cites.