Revisiting tourism destination image: A holistic measurement framework using big data

V Bui, AR Alaei, HQ Vu, G Li… - Journal of Travel …, 2022 - journals.sagepub.com
Understanding and being able to measure, analyze, compare, and contrast the image of a
tourism destination, also known as tourism destination image (TDI), is critical in tourism …

Supporting digital content marketing and messaging through topic modelling and decision trees

A Gregoriades, M Pampaka, H Herodotou… - Expert systems with …, 2021 - Elsevier
This paper presents a machine learning approach involving tourists' electronic word of
mouth (eWOM) to support destination marketing campaigns. This approach enhances …

Sentiment analysis for customer relationship management: an incremental learning approach

N Capuano, L Greco, P Ritrovato, M Vento - Applied intelligence, 2021 - Springer
In recent years there has been a significant rethinking of corporate management, which is
increasingly based on customer orientation principles. As a matter of fact, customer …

Effects of personalized intervention on collaborative knowledge building, group performance, socially shared metacognitive regulation, and cognitive load in computer …

L Zheng, L Zhong, J Niu, M Long, J Zhao - Educational Technology & …, 2021 - JSTOR
In recent years, the rapid development of artificial intelligence has increased the power of
personalized learning. This study aimed to provide personalized intervention for each group …

Effects of personalised feedback approach on knowledge building, emotions, co-regulated behavioural patterns and cognitive load in online collaborative learning

L Zheng, L Zhong, J Niu - Assessment & Evaluation in Higher …, 2022 - Taylor & Francis
Learning analytics has been widely used in the field of education. Most studies have
adopted a learning analytics dashboard to present data on learning processes or learning …

Diagnosing crop diseases based on domain-adaptive pre-training BERT of electronic medical records

J Ding, B Li, C Xu, Y Qiao, L Zhang - Applied Intelligence, 2023 - Springer
Abstract Crop Electronic Medical Records (CEMRs) contain a rich diversity of information
about disease characteristics, which is highly valuable as a support to plant doctors …

IncLSTM: incremental ensemble LSTM model towards time series data

H Wang, M Li, X Yue - Computers & Electrical Engineering, 2021 - Elsevier
Long short-term memory (LSTM) is one of the most widely used recurrent neural network.
Traditionally, it adopts an offline batch mode for model training. To be updated with new …

LifelongGlue: Keypoint matching for 3D reconstruction with continual neural networks

A Zaman, F Yangyu, M Irfan, MS Ayub, L Guoyun… - Expert Systems with …, 2022 - Elsevier
Human beings acquire knowledge by a continually learning process. They learn through
experience, accumulate knowledge, and employ it to perform the task at hand. The main aim …

Social media analytics system for action inspection on social networks

M Mameli, M Paolanti, C Morbidoni, E Frontoni… - Social Network Analysis …, 2022 - Springer
Social networks are increasingly used for discussing all kinds of topics, including those
related to politics, serving as a virtual arena. Consequently, analysing online conversations …

Addressing event-driven concept drift in twitter stream: a stance detection application

A Bechini, A Bondielli, P Ducange, F Marcelloni… - IEEE …, 2021 - ieeexplore.ieee.org
The content posted by users on Social Networks represents an important source of
information for a myriad of applications in the wide field known associal sensing'. The Twitter …