A survey on data augmentation for text classification
Data augmentation, the artificial creation of training data for machine learning by
transformations, is a widely studied research field across machine learning disciplines …
transformations, is a widely studied research field across machine learning disciplines …
Machine learning algorithms for social media analysis: A survey
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …
Internet increase the study of these data. However, the efficient processing of such massive …
The effectiveness of online platforms after the pandemic: will face-to-face classes affect students' perception of their Behavioural Intention (BIU) to use online platforms …
The purpose of this study is to investigate students' intention to continue using online
learning platforms during face-to-face traditional classes in a way that is parallel to their …
learning platforms during face-to-face traditional classes in a way that is parallel to their …
The influence of information system success and technology acceptance model on social media factors in education
AM Al-Rahmi, A Shamsuddin, U Alturki, A Aldraiweesh… - Sustainability, 2021 - mdpi.com
The current study explores the students' behavioral intention to use social media and actual
social media use in higher education, specifically the perception of their academic …
social media use in higher education, specifically the perception of their academic …
Using AI and social media multimodal content for disaster response and management: Opportunities, challenges, and future directions
Abstract People increasingly use Social Media (SM) platforms such as Twitter and Facebook
during disasters and emergencies to post situational updates including reports of injured or …
during disasters and emergencies to post situational updates including reports of injured or …
Data augmentation in natural language processing: a novel text generation approach for long and short text classifiers
In many cases of machine learning, research suggests that the development of training data
might have a higher relevance than the choice and modelling of classifiers themselves …
might have a higher relevance than the choice and modelling of classifiers themselves …
Natural language processing in law: Prediction of outcomes in the higher courts of Turkey
Natural language processing (NLP) based approaches have recently received attention for
legal systems of several countries. It is of interest to study the wide variety of legal systems …
legal systems of several countries. It is of interest to study the wide variety of legal systems …
HAN, image captioning, and forensics ensemble multimodal fake news detection
P Meel, DK Vishwakarma - Information Sciences, 2021 - Elsevier
Nowadays, news publication, propagation, and consumption have been diverted to online
social media networks and web portals, which has given rise to falsified and fabricated news …
social media networks and web portals, which has given rise to falsified and fabricated news …
Extracting the location of flooding events in urban systems and analyzing the semantic risk using social sensing data
The aggregation of the same type of socio-economic activities in urban space generates
urban functional zones, each of which has one function as the main (eg, residential …
urban functional zones, each of which has one function as the main (eg, residential …
An enhanced ensemble learning-based fault detection and diagnosis for grid-connected PV systems
The main objective of this article is to develop an enhanced ensemble learning (EL) based
intelligent fault detection and diagnosis (FDD) paradigms that aim to ensure the high …
intelligent fault detection and diagnosis (FDD) paradigms that aim to ensure the high …