Review-based measurement of customer satisfaction in mobile service: Sentiment analysis and VIKOR approach

Kang, Daekook; Park, Yongtae

doi:10.1016/j.eswa.2013.07.101

Cited by 229 publications

(137 citation statements)

References 31 publications

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“…The VIKOR method was first developed in 1990 by Serafim Opricovic and has been extensively studied by many researchers to date in many fields with its classical version (Hsu 2014;Kang, Park 2014;Büyüközkan, Görener 2015) or its extensions (Rostamzadeh et al 2014;Liu et al 2015;You et al 2015). In very recently, a comprehensive review with a systematic approach has been conducted by Mardani et al (2016) to identify VIKOR technique applications and methodologies, which have been developed to date.…”

Section: Methodsmentioning

confidence: 99%

“…In very recently, a comprehensive review with a systematic approach has been conducted by Mardani et al (2016) to identify VIKOR technique applications and methodologies, which have been developed to date. In the context of multi-criteria based decision making, VIKOR is advantageous, particularly in situations where the decision maker is not able, or does not know how he/she expresses his/her preference at the early stage of system design (Kang, Park 2014). Moreover, the difficulty of reaching an agreement on the relative importance of the financial performance measures via a subjective weighting process with the multiplicity of the problem under a specific environment is increased in the absence of appropriate decision makers (Deng et al 2000).…”

Section: Methodsmentioning

confidence: 99%

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A Multi-Criteria Performance Analysis of Initial Public Offering (Ipo) Firms Using Critic and Vikor Methods

Yalçın

Ünlü

2017

Technological and Economic Development of Economy

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Abstract. As Initial Public Offering (IPO) is a significant milestone in the financial strategy of a firm, this study aims to evaluate performance of IPOs using multiple measures including accounting-based performance (ABP), value-based performance (VBP) and overall performance (OP) in the pre-and post-IPO periods. Therefore, we present two combined approaches based on a compromise MCDM method-VIKOR and objective weighting methods-CRITIC and MW (Mean Weight) to evaluate and rank IPOs to help shareholders with understanding on how their performance changes under the different measures. Since the compromise solution (one or a set) proposed by VIKOR depends substantially on criteria weights, VIKOR-CRITIC can show more realistic results because of the differential weights assigned to criteria by CRITIC. In this study, a case study is conducted in order to evaluate the performance of Turkish IPOs based on ABP, VBP and OP measures using the combined methods. The results show that the compromise solution results obtained by VIKOR-CRITIC may be a guideline for investors in making more profitable investment decisions before leaping into any investment decision.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

A Multi-Criteria Performance Analysis of Initial Public Offering (Ipo) Firms Using Critic and Vikor Methods

Yalçın

Ünlü

2017

Technological and Economic Development of Economy

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“…These techniques [7], [8], [9], [10], [11], [12], [13], [14], [15] and [16] of finding frequent nouns or noun phrases first apply part-of-speech (POS) tagging to all reviews, where each word in a review sentence is tagged with its part-of-speech (such as noun, adjective, adverb, verb etc. Literature related to these approaches is briefly discussed in this section as follow.…”

Section: Feature Identification Using Frequent Noun and Noun Phasesmentioning

confidence: 99%

Literature Review on Feature Identification in Sentiment Analysis

Hussain¹,

Sattar²,

Afzal³

2015

IJCA

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Now-a-days the volume of opinions about products, issues, events, and politics etc. on different social, e-commerce and review sites grows very rapidly. From both opinion holder and opinion target point of view, it is very difficult and time consuming task to analyze all the reviews from this massive amount of data on the web. So, there is a need of efficient method that automatically extracts the opinions and relevant features of the opinion target from the reviews and finally generates the feature wise summary. Sometimes people may use different words to express same feature, this may produce a misperception in the results during feature wise summary generation. To avoid this, we need to categorize similar features for precise classification of opinions based on these feature groups. Therefore, our study is targeting the most important tasks of feature based sentiment analysis that are feature extraction and feature categorization. This paper is about to cover the currently available techniques in these two areas. We have also focused on least addressed area in this domain giving an opportunity to researchers for future work. General TermsPattern Recognition

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“…Facing with the increasing fierce competition in the telecom industry, product innovation alone is far from enough to maintain the dominant position in the industry [1]- [4]. Therefore, telecom enterprises shall attach high attentions on how to retain high-value customers and develop great potential ones with limited resources to achieve the maximum profit and sustainable development.…”

Section: Introductionmentioning

confidence: 99%

Customer Value Analysis for Telecom Industry Based on Data Mining

Liu¹,

Fu²

2016

IJFCC

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Abstract-Customer plays an important role in survival and development of telecom enterprises. Every customer claims different development and care costs, which requires telecom enterprises to make different resource investment programs to customers of different types of value. Customer value analysis is necessary in order to guide enterprises to make optimum resource allocation effectively. In this paper, a model used to evaluate comprehensive value of customers was established according to the customer value evaluation system, and an empirical analysis based on real customer data of a telecom enterprise was implemented.Index Terms-Data mining, comprehensive evaluation system, customer value, principal component analysis (PCA).

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Review-based measurement of customer satisfaction in mobile service: Sentiment analysis and VIKOR approach

Cited by 229 publications

References 31 publications

A Multi-Criteria Performance Analysis of Initial Public Offering (Ipo) Firms Using Critic and Vikor Methods

A Multi-Criteria Performance Analysis of Initial Public Offering (Ipo) Firms Using Critic and Vikor Methods

Literature Review on Feature Identification in Sentiment Analysis

Customer Value Analysis for Telecom Industry Based on Data Mining

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