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pro vyhledávání: '"news sentiment analysis"'
Autor:
Andrenšek, Luka, Koloski, Boshko, Pelicon, Andraž, Lavrač, Nada, Pollak, Senja, Purver, Matthew
We investigate zero-shot cross-lingual news sentiment detection, aiming to develop robust sentiment classifiers that can be deployed across multiple languages without target-language training data. We introduce novel evaluation datasets in several le
Externí odkaz:
http://arxiv.org/abs/2409.20054
The stock market's ascent typically mirrors the flourishing state of the economy, whereas its decline is often an indicator of an economic downturn. Therefore, for a long time, significant correlation elements for predicting trends in financial stock
Externí odkaz:
http://arxiv.org/abs/2407.16150
Autor:
Lefort, Baptiste, Benhamou, Eric, Ohana, Jean-Jacques, Saltiel, David, Guez, Beatrice, Jacquot, Thomas
This paper introduces a new risk-on risk-off strategy for the stock market, which combines a financial stress indicator with a sentiment analysis done by ChatGPT reading and interpreting Bloomberg daily market summaries. Forecasts of market stress de
Externí odkaz:
http://arxiv.org/abs/2404.00012
Autor:
Nguyen, Angie1,2 (AUTHOR) angie.nguyen@ensam.eu, Pellerin, Robert3 (AUTHOR), Lamouri, Samir1 (AUTHOR), Lekens, Béranger2 (AUTHOR)
Publikováno v:
International Journal of Production Research. May2023, Vol. 61 Issue 9, p2828-2839. 12p. 7 Charts, 2 Graphs.
Autor:
Halder, Shayan
Economy is severely dependent on the stock market. An uptrend usually corresponds to prosperity while a downtrend correlates to recession. Predicting the stock market has thus been a centre of research and experiment for a long time. Being able to pr
Externí odkaz:
http://arxiv.org/abs/2211.07392
Publikováno v:
In International Review of Economics and Finance January 2024 89 Part A:605-617
Autor:
Kabbani, Taylan, Usta, Fatih Enes
Predicting the stock market trend has always been challenging since its movement is affected by many factors. Here, we approach the future trend prediction problem as a machine learning classification problem by creating tomorrow_trend feature as our
Externí odkaz:
http://arxiv.org/abs/2201.12283
Akademický článek
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Autor:
Iwendi, Celestine, Mohan, Senthilkumar, khan, Suleman, Ibeke, Ebuka, Ahmadian, Ali, Ciano, Tiziana
Publikováno v:
In Computers and Electrical Engineering July 2022 101
Autor:
Samuels, Antony, Mcgonical, John
Modern technological era has reshaped traditional lifestyle in several domains. The medium of publishing news and events has become faster with the advancement of Information Technology. IT has also been flooded with immense amounts of data, which is
Externí odkaz:
http://arxiv.org/abs/2007.02238