Twitter sentiment analysis approaches: A survey
Twitter is one of the most popular microblogging and social networking platforms where
massive instant messages (ie tweets) are posted every day. Twitter sentiment analysis …
massive instant messages (ie tweets) are posted every day. Twitter sentiment analysis …
Choice architecture for nudges to support constructive learning in active video watching
V Dimitrova, A Mitrovic - International Journal of Artificial Intelligence in …, 2022 - Springer
Video-based learning is widely used today in both formal education and informal learning in
a variety of contexts. Videos are especially powerful for transferable skills learning (eg …
a variety of contexts. Videos are especially powerful for transferable skills learning (eg …
Emerging Exploration Strategies of Knowledge Graphs
The utilization of semantic web technologies has led to the development of knowledge
graphs represented as triples that allow for the exploration of specific and cross-domains …
graphs represented as triples that allow for the exploration of specific and cross-domains …
Finding and explaining relations in a biographical knowledge graph based on life events: Case BiographySampo
H Rantala, E Hyvönen… - Extended Semantic Web …, 2023 - researchportal.helsinki.fi
This paper presents a knowledge-based approach for finding and explaining “interesting”
semantic relations between persons and places in a knowledge graph. As a case study we …
semantic relations between persons and places in a knowledge graph. As a case study we …
Evaluating the usability of a semantic environmental health data framework: Approach and study
Environmental exposures transported across air, land and water can affect our health
making us more susceptible to developing a disease. Therefore, researchers need to face …
making us more susceptible to developing a disease. Therefore, researchers need to face …
Diversity-aware entity exploration on knowledge graph
L Zheng, S Liu, Z Song, F Dou - IEEE Access, 2021 - ieeexplore.ieee.org
Knowledge graphs are graph-structured knowledge bases containing abundant entities and
relations among the entities. Entity exploration can help users understand the overall …
relations among the entities. Entity exploration can help users understand the overall …
Characterising video segments to support learning
A Mohammed, V Dimitrova - ICCE 2020 Proceedings, 2020 - eprints.whiterose.ac.uk
Videos provide opportunities for engagement and independent learning and are widely
used in various learning contexts. However, there are challenges with using videos for …
used in various learning contexts. However, there are challenges with using videos for …
Entity recommendation with negative feedback memory networks for topic-oriented knowledge graph exploration
Y Yang, M Li, J Wang, W Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Knowledge graph exploration is an interactive knowledge discovery process over the
knowledge graph. Entity recommendation deals with the information overflow issue when …
knowledge graph. Entity recommendation deals with the information overflow issue when …
Cdmi: A clockwise-displacement algorithm to compute multiplicative inverse
H Abu-gellban, L Nguyen - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
A multiplicative inverse (MI) algorithm is used in several fields, like cryptography algorithms.
There are many MIs, however, these algorithms suffer from using several multiplication and …
There are many MIs, however, these algorithms suffer from using several multiplication and …
A comparison between entity-centric knowledge base and knowledge graph to represent semantic relationships for searching as learning situations
Searching the web with learning intent, known as Searching as Learning (SaL), consists on
learners to use Web search engines as a technology to drive their learning process …
learners to use Web search engines as a technology to drive their learning process …