Free Open Access issue published by International Journal of Information and Communication Technology

The International Journal of Information and Communication Technology has published an Open Access issue. All of the issue’s papers can be downloaded via the full-text links available here.

• Cross-modal sentiment analysis of new media content based on an enhanced question-answering framework
• A fusion architecture of heterogeneous graph neural network and reinforcement learning for business innovation decision-making
• Investigation of a music genre data classification method based on an improved ECAPA-TDNN algorithm
• Mobile terminal-assisted interactive English learning design to facilitate knowledge deepening
• Fusing ConvLSTM and graph convolutional network for mapping the suitability of elderly-friendly tourist destinations