Quantifying differences between UGC and DMO’s image content on Instagram using deep learning

Author:

Díaz-Pacheco ÁngelORCID,Guerrero-Rodríguez RafaelORCID,Álvarez-Carmona Miguel Á.ORCID,Rodríguez-González Ansel Y.ORCID,Aranda RamónORCID

Publisher

Springer Science and Business Media LLC

Reference86 articles.

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2. Álvarez-Carmona MÁ, Díaz-Pacheco Á, Aranda R et al (2023) Overview of Rest-Mex at IberLEF 2023: research on sentiment analysis task for Mexican tourist texts. Proces Leng Nat 71:425–436

3. Arefieva V, Egger R, Yu J (2021) A machine learning approach to cluster destination image on Instagram. Tour Manag 85:104318. https://doi.org/10.1016/j.tourman.2021.104318

4. Baloglu S, McCleary KW (1999) A model of destination image formation. Ann Tour Res 26(4):868–897. https://doi.org/10.1016/s0160-7383(99)00030-4

5. Baumann F, Lopes MS, Lourenço P (2018a) Destination image through digital photography. Instagram as a data collector for UGC analysis. e-Rev Tour Res. https://ertr-ojs-tamu.tdl.org/ertr/index.php/ertr/article/view/117

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