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Knowledge graphs: A practical review of the research landscape
M Kejriwal - Information, 2022 - mdpi.com
Knowledge graphs (KGs) have rapidly emerged as an important area in AI over the last ten
years. Building on a storied tradition of graphs in the AI community, a KG may be simply …
years. Building on a storied tradition of graphs in the AI community, a KG may be simply …
An ALBERT-based TextCNN-Hatt hybrid model enhanced with topic knowledge for sentiment analysis of sudden-onset disasters
Sudden-onset disasters put forward new requirements for on the state authorities' ability to
analyze public opinion sentiment. However, traditional sentiment analysis methods ignore …
analyze public opinion sentiment. However, traditional sentiment analysis methods ignore …
Leveraging the meta-embedding for text classification in a resource-constrained language
This paper proposes an intelligent text classification framework for a resource-constrained
language like Bengali, which is considered a challenging task due to the lack of standard …
language like Bengali, which is considered a challenging task due to the lack of standard …
Named entity resolution in personal knowledge graphs
M Kejriwal - ar** of Pet E-commerce Products Using Crowdsourced Reviews: An Experimental Study
X Liu, T Sun, D Fu, Z Li, S Qian, R Meng… - … Knowledge Graphs and …, 2023 - Springer
This paper considers the problem of semantically ty** pet products using only
independent and crowdsourced reviews provided for them on e-commerce websites by …
independent and crowdsourced reviews provided for them on e-commerce websites by …