Results 41 to 50 of about 14,560 (254)
Wisdom of crowds and commodity pricing
Journal of Futures Markets, Volume 43, Issue 8, Page 1040-1068, August 2023., 2023 Abstract We extract commodity‐level sentiment from the Twittersphere in 2009–2020. A long–short strategy based on sentiment shifts more than doubles the Sharpe ratio of extant commodity factors. Commodities with lower (higher) sentiment shifts tend to be overvalued (undervalued) when the aggregate market is in backwardation (contango).
John Hua Fan +2 more
wiley +1 more source
SemEval 2018 Task 2: Multilingual Emoji Prediction [PDF]
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018 Comunicació presentada al 12th International Workshop on Semantic Evaluation (SemEval-2018), celebrat els dies 5 i 6 de juny de 2018 a Nova Orleans, EUA. This paper describes the results of the first shared task on Multilingual Emoji Prediction, organized as part of SemEval 2018. Given the text of a tweet, the task consists of predicting
Barbieri, Francesco +7 more
openaire +3 more sources
Research on Relation Classification Tasks Based on Cybersecurity Text
Mathematics, 2023 Relation classification is a significant task within the field of natural language processing. Its objective is to extract and identify relations between two entities in a given text.
Ze Shi, Hongyi Li, Di Zhao, Chengwei Pan
doaj +1 more source
IET Communications, Volume 17, Issue 13, Page 1655-1664, August 2023., 2023 Abstract The above article from IET Communications, published online on 12 November 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Interim Editor‐in‐Chief, Jian Ren, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd.
Latika Jindal +5 more
wiley +1 more source
Food insufficiency and Twitter emotions during a pandemic
Applied Economic Perspectives and Policy, Volume 45, Issue 2, Page 1189-1210, June 2023., 2023 Abstract The COVID‐19 pandemic initially caused worldwide concerns about food insecurity. Tweets analyzed in real‐time may help food assistance providers target food supplies to where they are most urgently needed. In this exploratory study, we use natural language processing to extract sentiments and emotions expressed in food security‐related tweets ...
Stephan J. Goetz +8 more
wiley +1 more source
Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions - DEW '09, 2009 This paper presents the task "Coreference Resolution in Multiple Languages" to be run in SemEval-2010 (5th International Workshop on Semantic Evaluations). This task aims to evaluate and compare automatic coreference resolution systems for three different languages (Catalan, English, and Spanish) by means of two ...
Recasens Potau, Marta +4 more
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COVID‐19 clinical medical relationship extraction based on MPNet
IET Cyber-Physical Systems: Theory &Applications, Volume 8, Issue 2, Page 119-129, June 2023., 2023 This paper proposes a deep learning method based on a COVID‐19 clinical trial data relation extraction model. The model adopts MPNet model, bidirectional‐GRU network, MAtt mechanism and CRF reasoning layer integrated architecture to improve the problem that static word vectors cannot represent ambiguity through pre‐training language models.
Su Qianmin +4 more
wiley +1 more source
SemEval-2015 Task 10: Sentiment Analysis in Twitter [PDF]
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), 2015 Sentiment analysis, sentiment towards a topic, quantification, microblog sentiment analysis; Twitter opinion ...
Rosenthal, Sara +5 more
openaire +4 more sources
Applied Sciences, 2023 Relation extraction tasks aim to predict the type of relationship between two entities from a given text. However, many existing methods fail to fully utilize the semantic information and the probability distribution of the output of pre-trained language
Ping Feng +4 more
doaj +1 more source
Temporal positional lexicon expansion for federated learning based on hyperpatism detection
Expert Systems, Volume 40, Issue 5, June 2023., 2023 Abstract Internet‐based information exchange has resulted in the propagation of false and misleading information, which is highly detrimental to individuals and humankind. Due to the speed and volume of social media news production, supervised artificial intelligence algorithms require many annotated data, which is difficult, costly, and time‐consuming.
Usman Ahmed +2 more
wiley +1 more source