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Article detail · 2024 · article

Analysis of Almaty’s Restaurant Reviews through Topic Modelling

ISSN1855-3303
YÖKSİS OpenAlex Open access · diamond
Year2024
Citations0OpenAlex
Percentile%11.3
FWCI0.01.00 = world average
Scopus (SJR)Q3

Data source split

  • YÖKSİSYÖKSİS article record
  • YÖKSİS venueAcademica Turistica - Tourism & Innovation Journal
  • Catalog match (ISSN)Academica Turistica
  • OpenAlexOpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex English

This research investigates customers' reviews of the restaurant sector in Almaty, Kazakhstan.Although Kazakhstan offers unique foods, beverages, and establishments, few studies have investigated customers' reviews of the restaurant business.Hence, this is a pioneering study examining problems and concerns of the restaurant sector in the eyes of customers in Almaty, Kazakhstan by implementing big data analysis.The scraped dataset from the TripAdvisor website contains more than 13,000 restaurant reviews in different languages between 2010 through 2023.Generally, English and Russian are the two dominant languages used in reviews in Almaty.Text mining techniques of topic modelling and sentiment analysis are applied in order to derive and understand the main focuses, problems, and concerns of restaurant customers.To do this the collected data between 2010-2023 is split into two roughly

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

0citationsOpenAlex · cited_by_count (cache / database)

Authors

10
  1. ALPER KÜRŞAT UYSAL ALANYA ALAADDİN KEYKUBAT ÜNİVERSİTESİ 1
  2. EGEMEN GÜNEŞ TÜKENMEZ 2
  3. Madina Abdikarimova Nurbulatovna 3
  4. MURAT ALPER BAŞARAN 4
  5. KEMAL KANTARCI 5
  6. Turganbai Abdrassilov Kurmanbaevich 6
  7. Kultay Adilova Agytaevna 7
  8. Kainar Kaldybay Kaldybayulu 8
  9. Karlygash Aralbekova Amirovna 9
  10. Nurzhan Abdirazakov 10