Порівняння методів

	TripAdvisor Review Sentiment Mining	Travel Community Netnography
Галузь	Tourism	Tourism
Родина	Machine learning	Process / pipeline
Рік появи	2008	2002
Автор методу	Bo Pang & Lillian Lee (opinion mining); applied to hotel reviews by Zheng Xiang and colleagues	Robert V. Kozinets
Тип	Supervised/lexicon text-classification of review polarity and opinion	Adapted ethnographic pipeline for studying online communities
Основоположне джерело	Pang, B., & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval, 2(1-2), 1-135.	Kozinets, R. V. (2002). The Field Behind the Screen: Using Netnography for Marketing Research in Online Communities. Journal of Marketing Research, 39(1), 61-72.
Інші назви	Online Hotel Review Sentiment Analysis, Travel Review Opinion Mining, Hospitality Review Polarity Classification, Tourism Review Sentiment Classification	Online Travel Community Ethnography, Tourism Netnography, Travel Forum Netnographic Analysis, Digital Travel Community Ethnography
Пов'язані	4	4
Підсумок	TripAdvisor review sentiment mining applies opinion mining and sentiment analysis to the large volumes of online reviews that travellers write about hotels, restaurants and attractions on platforms such as TripAdvisor. Grounded in the opinion-mining methodology surveyed by Pang and Lee (2008), it uses lexicon-based or machine-learning text classifiers to determine whether a review, sentence or opinion is positive, negative or neutral, turning unstructured free text into structured sentiment data. Applied to hospitality, as demonstrated by Xiang and colleagues (2015) in their big-data analysis of hotel guest experience, the technique can go beyond an overall verdict to extract aspect-level sentiment, revealing how guests feel about specific facets like room, service, location, value and cleanliness. The result is a scalable way to read what thousands of guests are actually saying and to quantify the tone of a property's online reputation.	Travel community netnography applies netnography, ethnography adapted to the study of online communities, to the forums, social-media groups, blogs and review communities where travellers gather to share experiences, advice and meaning. Developed by Robert Kozinets (2002, 2010), netnography offers a rigorous, ethically grounded set of procedures for entering an online community, immersing in its communications, and interpreting the symbolism, meanings and consumption practices of its members. In tourism it is used to understand how travellers construct destinations, make decisions, perform identity and form attachments through naturally occurring online interaction, observed unobtrusively rather than provoked by an interviewer. Kozinets positioned netnography as faster, less costly and more naturalistic than offline ethnography while demanding the same interpretive depth, reflexivity and ethical care.