Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Understanding Customers' Evaluations Through Mining Airline Reviews   Data mining can be evaluated as a strategic tool to determine the customer
profiles in order to learn customer expectations and requirements. Airline
customers have different characteristics and if passenger reviews about their
trip experiences are correctly analyzed, companies can increase customer
satisfaction by improving provided services. In this study, we investigate
customer review data for in-flight services of airline companies and draw
customer models with respect to such data. In this sense, we apply two
approaches as feature-based and clustering-based modelling. In feature-based
modelling, customers are grouped into categories based on features such as
cabin flown types, experienced airline companies. In clustering-based
modelling, customers are first clustered via k-means clustering and then
modeled. We apply multivariate regression analysis to model customer groups in
both cases. During this, we try to understand how customers evaluate the given
services and what dominant characteristics of in-flight services can be from
the customer viewpoint.

6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
23
The categories of this paper are: solv-int
36
The categories of this paper are: cmp-lg
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The categories of this paper are: q-bio
18
The categories of this paper are: econ
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The categories of this paper are: cond-mat
27
The categories of this paper are: comp-gas