Pregled bibliografske jedinice broj: 1177580
Sentiment analysis and multimodal approach applied to social media content in hospitality industry
Sentiment analysis and multimodal approach applied to social media content in hospitality industry // 6th International scientific conference ToSEE - Tourism in Southern and Eastern Europe 2021 / Alkier, Romina ; Marković, Suzana ; Perić, Marko (ur.).
Opatija: Fakultet za menadžment u turizmu i ugostiteljstvu Sveučilišta u Rijeci, 2021. str. 533-544 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Sentiment analysis and multimodal approach applied
to
social media content in hospitality industry
Autori
Musanovic, Jelena ; Folgieri, Raffaella ; Gregoric, Maja
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
6th International scientific conference ToSEE - Tourism in Southern and Eastern Europe 2021
/ Alkier, Romina ; Marković, Suzana ; Perić, Marko - Opatija : Fakultet za menadžment u turizmu i ugostiteljstvu Sveučilišta u Rijeci, 2021, 533-544
Skup
6th International Scientific Conference ToSEE - Tourism in Southern and Eastern Europe 2021: ToSEE – Smart, Experience, Excellence & ToFEEL – Feelings, Excitement, Education, Leisure (ToSEE 2021)
Mjesto i datum
Opatija, Hrvatska, 30.06.2021. - 02.07.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
tourism ; hospitality ; social media ; text analysis ; sentiment analysis ; Latent Dirichlett Allocation
Sažetak
Purpose – The importance of the "data gold rush" that occurs in real time on various social media platforms is recognized by various tourism stakeholders and researcher. To extract knowledge from textual data, the purpose of this study is to apply text mining techniques to social media data. Methodology – Descriptive statistical analysis is conducted to quantify the activity of hotel brands on Facebook. The topic modelling technique Latent Dirichlet Allocation (LDA) is used to extract and validate knowledge from text data of 25 Croatian four- and five- star hotel brands that were active on social media in 2019. Sentiment analysis is used to identify personal attitudes expressed through user-generated text that hotel brands promote by posting messages on Facebook pages. Findings – The LDA analysis of the Croatian hotel posts extracted 6 topics: Wellbeing, Atmosphere, Promotion, Gastronomy, Surrounding and Satisfaction. The results of the sentiment analysis indicated that Facebook page followers are more likely to express positive sentiments reflecting an overall satisfaction with the promoted products, services and staff by hotel brands. Contribution – It is a unique study that provides an analysis of textual data in Croatian hospitality research. The application of the multimodal approach contributes to a better uses of contents in possible different strategies so that effective indicators can be given to perform an effective communication. This study provides recommendations, challenges, and current insights into applied communication strategies for marketers to increase a greater number of tourists visiting destinations
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
POVEZANOST RADA
Ustanove:
Fakultet za menadžment u turizmu i ugostiteljstvu, Opatija
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Social Sciences & Humanities (CPCI-SSH)