Fetching the paper…
Reading the bibliography…
In this study, we explore the application of sentiment analysis on financial news headlines to understand investor sentiment.
M. Hu and B. Liu, “Mining and summarizing customer reviews,” in Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining , 2004, pp. 168–177
2004
Earlier work this paper cites.
P. C. Tetlock, “Giving content to investor sentiment: The role of media in the stock market,” The Journal of finance , vol. 62, no. 3, pp. 1139–1168, 2007
2007
Earlier work this paper cites.
B. Pang, L. Lee et al. , “Opinion mining and sentiment analysis,” Foundations and Trends® in information retrieval , vol. 2, no. 1–2, pp. 1–135, 2008
2008
Earlier work this paper cites.
B. M. Barber and T. Odean, “All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors,” The review of financial studies , vol. 21, no. 2, pp. 785–818, 2008
2008
Earlier work this paper cites.
S. Kogan, D. Levin, B. R. Routledge, J. S. Sagi, and N. A. Smith, “Predicting risk from financial reports with regression,” in Proceedings of human language technologies: the 2009 annual conference of the North American Chapter of the Association for Computational Linguistics , 2009, pp. 272–280
2009
Earlier work this paper cites.
F. Li, “The information content of forward-looking statements in corporate filings—a naïve bayesian machine learning approach,” Journal of accounting research , vol. 48, no. 5, pp. 1049–1102, 2010
2010
Earlier work this paper cites.
T. Loughran and B. McDonald, “When is a liability not a liability? textual analysis, dictionaries, and 10-ks,” The Journal of finance , vol. 66, no. 1, pp. 35–65, 2011
2011
Earlier work this paper cites.
J. Bollen, H. Mao, and X. Zeng, “Twitter mood predicts the stock market,” Journal of computational science , vol. 2, no. 1, pp. 1–8, 2011
2011
Earlier work this paper cites.
X. Zhang, H. Fuehres, and P. A. Gloor, “Predicting stock market indicators through twitter “i hope it is not as bad as i fear”,” Procedia-Social and Behavioral Sciences , vol. 26, pp. 55–62, 2011
2011
Earlier work this paper cites.
J. Si, A. Mukherjee, B. Liu, Q. Li, H. Li, and X. Deng, “Exploiting topic based twitter sentiment for stock prediction,” in Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , 2013, pp. 24–29
2013
Earlier work this paper cites.
P. Malo, A. Sinha, P. Korhonen, J. Wallenius, and P. Takala, “Good debt or bad debt: Detecting semantic orientations in economic texts,” Journal of the Association for Information Science and Technology , vol. 65, no. 4, pp. 782–796, 2014
2014
Cited alongside, same era.
B. S. Kumar and V. Ravi, “A survey of the applications of text mining in financial domain,” Knowledge-Based Systems , vol. 114, pp. 128–147, 2016
2016
Cited alongside, same era.
2018
Cited alongside, same era.
F. Z. Xing, E. Cambria, and R. E. Welsch, “Natural language based financial forecasting: a survey,” Artificial Intelligence Review , vol. 50, no. 1, pp. 49–73, 2018
2018
Cited alongside, same era.
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2023
Cited alongside, same era.
B.-G. Choi, J. H. Choi, and S. Malik, “Not just for investors: The role of earnings announcements in guiding job seekers,” Journal of Accounting and Economics , vol. 76, no. 1, p. 101588, 2023
2023
Cited alongside, same era.
T. Deng, H. Xie, J. Wang, and W. Chen, “Long-term visual simultaneous localization and mapping: Using a bayesian persistence filter-based global map prediction,” IEEE Robotics & Automation Magazine , vol. 30, no. 1, pp. 36–49, 2023
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2024
Cited alongside, same era.
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
T. Liu, S. Li, Y. Dong, Y. Mo, and S. He, “Spam detection and classification based on distilbert deep learning algorithm,” Applied Science and Engineering Journal for Advanced Research , vol. 3, no. 3, pp. 6–10, 2024
2024
Closest in time.