... and individual cognition and how deep learning techniques can enhance our understanding of the semantic structures within folksonomies. Design/methodology/approach Popular tags from three benchmark years (2006, 2010 and 2015) were collected and manually categorized using a faceted classification scheme...

... the interplay between social media dynamics and Pakistan’s political landscape. The proposed hybrid model combines supervised machine learning and deep learning for Twitter-based text classification to assess political perceptions. A total of 52,067 tweets were analyzed and categorized into eight emotion groups...

... using the approach of machine and deep learning. Design/methodology/approach For the purpose of sarcasm detection, machine and deep learning models were used on a data set consisting of 1.3 million social media comments, including both sarcastic and non-sarcastic comments. The data set was pre...

.... Meng Han can be contacted at: mhan9@kennesaw.edu 07 06 2020 15 09 2020 01 11 2020 17 12 2020 19 12 2020 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Survey Deep learning Data mining Machine learning FinTech...

.... Bibliometric analysis Failure prediction Deep learning Machine learning Log analysis System log IT infrastructure plays an essential role in today’s technology-driven world, and it is also used in various types of organizations. IT infrastructures are becoming extremely complex with thousands...

... learning and deep learning (DL) models in predictive analytics that include both behaviors and text analysis. Design/methodology/approach This study combined behavioral data and discussion board content to construct early warning models with machine learning and DL algorithms. In total, 680 course...