User Experience Quantification Model from Online User Reviews

Jamil Hussain; Zahra Azhar; Hafiz Farooq Ahmad; Muhammad Afzal; Mukhlis Raza; Sungyoung Lee

doi:10.3390/app12136700

User Experience Quantification Model from Online User Reviews

Jamil Hussain, Zahra Azhar, Hafiz Farooq Ahmad, Muhammad Afzal, Mukhlis Raza, Sungyoung Lee^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

11 Citations (SciVal)

Original language	English
Article number	6700
Journal	Applied Sciences (Switzerland)
Volume	12
Issue number	13
DOIs	https://doi.org/10.3390/app12136700
Publication status	Published (VoR) - 1 Jul 2022

Funding

Funding: This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP (Institute for Information & communications Technology Promotion) , by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-0-01489), (IITP-2021-0-00979) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation)This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (2022-0-00078, Explainable Logical Reasoning for Medical Knowledge Generation). This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP (Institute for Information & communications Technology Promotion), by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-0-01489), (IITP-2021-0-00979) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation).

Keywords

customer satisfaction
Kano model
online reviews
opinion mining
product improvement
sentiment analysis
user experience

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10.3390/app12136700

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@article{9be3aadd840e43d9bb76044c0b56b877,

title = "User Experience Quantification Model from Online User Reviews",

keywords = "customer satisfaction, Kano model, online reviews, opinion mining, product improvement, sentiment analysis, user experience",

author = "Jamil Hussain and Zahra Azhar and Ahmad, \{Hafiz Farooq\} and Muhammad Afzal and Mukhlis Raza and Sungyoung Lee",

note = "Funding Information: Funding: This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP (Institute for Information \& communications Technology Promotion) , by Institute for Information \& communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-0-01489), (IITP-2021-0-00979) supervised by the IITP (Institute for Information \& communications Technology Planning \& Evaluation)This work was supported by Institute of Information \& communications Technology Planning \& Evaluation (IITP) grant funded by the Korea government (MSIT) (2022-0-00078, Explainable Logical Reasoning for Medical Knowledge Generation). Funding Information: This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP (Institute for Information \& communications Technology Promotion), by Institute for Information \& communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-0-01489), (IITP-2021-0-00979) supervised by the IITP (Institute for Information \& communications Technology Planning \& Evaluation). Publisher Copyright: {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2022",

month = jul,

day = "1",

doi = "10.3390/app12136700",

language = "English",

volume = "12",

journal = "Applied Sciences (Switzerland)",

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T1 - User Experience Quantification Model from Online User Reviews

AU - Hussain, Jamil

AU - Azhar, Zahra

AU - Ahmad, Hafiz Farooq

AU - Afzal, Muhammad

AU - Raza, Mukhlis

AU - Lee, Sungyoung

N1 - Funding Information: Funding: This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP (Institute for Information & communications Technology Promotion) , by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-0-01489), (IITP-2021-0-00979) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation)This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (2022-0-00078, Explainable Logical Reasoning for Medical Knowledge Generation). Funding Information: This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP (Institute for Information & communications Technology Promotion), by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00655), by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2020-0-01489), (IITP-2021-0-00979) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation). Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2022/7/1

Y1 - 2022/7/1

KW - customer satisfaction

KW - Kano model

KW - online reviews

KW - opinion mining

KW - product improvement

KW - sentiment analysis

KW - user experience

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DO - 10.3390/app12136700

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VL - 12

JO - Applied Sciences (Switzerland)

JF - Applied Sciences (Switzerland)

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M1 - 6700

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User Experience Quantification Model from Online User Reviews

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