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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| 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 |