Dynamics of the network economy: a content analysis of the search engine trends and correlate results using word clusters

Yaşlıoğlu, Murat

doi:10.1504/ijdats.2020.10026833

Cited by 1 publication

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“…It asks hosts to be almost perfect in all aspects including but not limited to review scores, response rate, and cancellation rate. As a result, the Airbnb super hosts can be seen as examples for all hosts to learn from [19].…”

Section: Sentiment Analysismentioning

confidence: 99%

Use Python Data Analysis to Gain Insights from Airbnb Hosts

Tian

2021

Advances in Mathematical Physics

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This paper uses Python and its external data processing package to conduct an in-depth analysis machine study of Airbnb review data. Increasingly, travelers are now using Airbnb instead of staying in traditional hotels. However, in such a growing and competitive Airbnb market, many hosts may find it difficult to make their listings attractive among the many. With the development of data science, the author can now analyse large amounts of data to obtain compelling evidence that helps Airbnb hosts find certain patterns in some popular properties. By learning and emulating these patterns, many hosts may be able to increase the popularity of their properties. By using Python to analyse all data from all aspects of Airbnb listings, the author proposes to test and find correlations between certain variables and popular listings. To ensure that the results are representative and general, the author used a database containing many multidimensional details and information about Airbnb listings to date. To obtain the desired results, the author uses the Pandas, NLTK, and matplotlib packages to better process and visualize the data. Finally, the author will make some recommendations to Airbnb hosts based on the evidence generated from the data in many ways. In the future, the author will build on this to further optimize the design.

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Section: Sentiment Analysismentioning

confidence: 99%

Use Python Data Analysis to Gain Insights from Airbnb Hosts

Tian

2021

Advances in Mathematical Physics

View full text Add to dashboard Cite

show abstract

Dynamics of the network economy: a content analysis of the search engine trends and correlate results using word clusters

Cited by 1 publication

References 0 publications

Use Python Data Analysis to Gain Insights from Airbnb Hosts

Use Python Data Analysis to Gain Insights from Airbnb Hosts

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