A deep semantic matching approach for identifying relevant messages for social media analysis

There is a growing interest in using social media content for Natural Language Processing applications. However, it is not easy to computationally identify the most relevant set of tweets related to any specific event. Challenging semantics coupled with different ways for using natural language in s...

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Detalles Bibliográficos
Autores principales: Biggers, Frederick Brown, Mohanty, Somya D., Manda, Prashanti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368660/
https://www.ncbi.nlm.nih.gov/pubmed/37491443
http://dx.doi.org/10.1038/s41598-023-38761-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368660/
https://www.ncbi.nlm.nih.gov/pubmed/37491443
http://dx.doi.org/10.1038/s41598-023-38761-y

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