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Sentiment analysis is a vital tool for uncovering insights from financial articles, news, and social media, shaping our understanding of market movements.
When is a liability not a liability? Textual analysis, dictionaries, and 10-Ks
Tim Loughran and Bill McDonald · 2011
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Automatic domain-specific sentiment lexicon generation with label propagation
Yen-Jen Tai and Hung-Yu Kao · 2013
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Good debt or bad debt: Detecting semantic orientations in economic texts
Pekka Malo, Ankur Sinha, Pekka Korhonen, Jyrki Wallenius, and Pyry Takala · 2014
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Deep learning for financial sentiment analysis on finance news providers
Min-Yuh Day and Chia-Chou Lee · 2016
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Inducing domain-specific sentiment lexicons from unlabeled corpora
William L Hamilton, Kevin Clark, Jure Leskovec, and Dan Jurafsky · 2016
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Sentiment analysis in financial texts
Samuel WK Chan and Mickey WC Chong · 2017
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Fixing weight decay regularization in adam
Ilya Loshchilov and Frank Hutter · 2017
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Financial news predicts stock market volatility better than close price
Adam Atkins, Mahesan Niranjan, and Enrico Gerding · 2018
Cited alongside, same era.
Www ’18: Companion proceedings of the the web conference 2018
Macedo Maia, Siegfried Handschuh, Andre Freitas, Brian Davis, Ross McDermott, Manel Zarrouk, and Alexandra. Balahur · 2018
Cited alongside, same era.
Big data: Deep learning for financial sentiment analysis
Sahar Sohangir, Dingding Wang, Anna Pomeranets, and Taghi M Khoshgoftaar · 2018
Cited alongside, same era.
Natural language based financial forecasting: a survey
Frank Z Xing, Erik Cambria, and Roy E Welsch · 2018
Cited alongside, same era.
FinBERT: Financial sentiment analysis with pre-trained language models
Dogu Araci · 2019
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters
Jeff Rasley, Samyam Rajbhandari, Olatunji Ruwase, and Yuxiong He · 2020
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Twitter financial news sentiment
Neural Magic · 2022
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When flue meets flang: Benchmarks and large pretrained language model for financial domain
Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, and Diyi Yang · 2022
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Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M Dai, and Quoc V Le · 2022
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LLaMA: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova · 2019
Cited alongside, same era.
Evaluation of sentiment analysis in finance: from lexicons to transformers
Kostadin Mishev, Ana Gjorgjevikj, Irena Vodenska, Lubomir T Chitkushev, and Dimitar Trajanov · 2020
Cited alongside, same era.
BloombergGPT: A large language model for finance
Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David Rosenberg, and Gideon Mann · 2023
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A survey of large language models, 2023
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, and Ji-Rong Wen · 2023
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