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Causality Mining in Natural Languages Using Machine and Deep Learning Techniques: A Survey

Wajid Ali, Wanli Zuo, Rahman Ali, Xianglin Zuo, Gohar Rahman
2021 Applied Sciences  
The era of big textual corpora and machine learning technologies have paved the way for researchers in numerous data mining fields.  ...  Causality (cause-effect relations) serves as an essential category of relationships, which plays a significant role in question answering, future events predication, discourse comprehension, decision making  ...  ) [127, 128] , Recurrent Neural Network (RNN) [129, 130] , Gated Recurrent Units (GRU) [131] , Long Short-term Memory (LSTM) [132] , Bidirectional Long Short-term Memory (bi-LSTM) [133] , Transformer  ... 
doi:10.3390/app112110064 fatcat:btv66da5x5a73auogv5d3lp2bi

Harnessing social media for health information management

Lina Zhou, Dongsong Zhang, Christopher C. Yang, Yu Wang
2018 Electronic Commerce Research and Applications  
Despite some demonstrated initial success, social media use and analytics for improving health as a research field is still at its infancy.  ...  The remarkable upsurge of social media has dramatic impacts on health care research and practice in the past decade.  ...  Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the above funding agencies.  ... 
doi:10.1016/j.elerap.2017.12.003 pmid:30147636 pmcid:PMC6105292 fatcat:p6uquchmavctdh33jmqpbv4iga

Vaccine safety surveillance using social media data

SEDIGHEH KHADEMI HABIBABADI
2021
Adverse Event Mentions (VAEM).  ...  This research answers the question of how social media surveillance can assist with detection of vaccine safety signals, and what effective techniques can be utilized for identifying posts containing Vaccine  ...  adverse event mentions from social media.  ... 
doi:10.26180/14819019 fatcat:dll4qbi62jhg7dpxk2ayennakq

Program

2022 2022 International Conference on Decision Aid Sciences and Applications (DASA)  
A maximum of 92.90% classification accuracy is obtained using the features of IMF-4 with 10-fold cross-validation. The results conclude that the proposed method can detect AD patients efficiently.  ...  The selected features from EEG recordings of 23 subjects (AD-12 and NC-11) are used to train and test the Leastsquare support vector machine (LS-SVM) classifier with three different kernel functions.  ...  For the purpose of this paper dynamic network flow models with a stochastic network representation of a communication network is used.  ... 
doi:10.1109/dasa54658.2022.9765271 fatcat:ttqppf4j3navnaxe653mrzmezi

Algorithmic business and EU law on fair trading

Federico Galli
2021
consumers' informed and free choices and vulnerability, as a concept of social policy that portrays people who are more exposed to marketing practices. ix CIRSFID-AI.  ...  Any acknowledgement of the support I have received has to start with thanking my supervisor Prof. Giovanni Sartor.  ...  According to Frankfurt, a person can be said to have free will and make autonomous decisions not simply if this decision is in line with its "action-determining volitions", but also about if this volition  ... 
doi:10.48676/unibo/amsdottorato/9750 fatcat:rb4rikb24vgbpj3v6ps24b7ugq