Sentiment Analysis of Twitter Data to Explore Customers’ Feedback Towards US Airline Services

QR Code

Sentiment Analysis of Twitter Data to Explore Customers’ Feedback Towards US Airline Services

Among the competitive airline industries, understanding the customers' opinions and improving them accordingly is very important for improving customer satisfaction to retain old customers and attract new customers. This research aims to carry out sentiment analyses on Twitter data relevant to...

Full description

Bibliographic Details
Main Author:	Liu, Wanru
Format:	Dissertation (University of Nottingham only)
Language:	English
Published:	2020
Online Access:	https://eprints.nottingham.ac.uk/62289/

Similar Items

Spatial and Temporal Sentiment Analysis of Twitter data
by: Xia, Jianhong (Cecilia), et al.
Published: (2016)

Twitter Sentiment Analysis on Automotive Companies
by: Mohd Zaki, Zakaria, et al.
Published: (2022)

Twitter sentiment analysis in the era of emojis
by: Li, Mengdi
Published: (2018)

Topic based sentiment analysis on twitter
by: Quah, Soong Ying
Published: (2014)

Sentiment analysis for airline services on Twitter using deep learning with word embedding / Mawada Mohamed Nour El Daim El Khalifa
by: Mawada Mohamed , Nour El Daim El Khalifa
Published: (2020)

Sentiment analysis using clonal selection algorithm for Twitter’s data / Fatimah Mamat
by: Mamat, Fatimah
Published: (2012)

Twitter Sentiment Mining: A Multi Domain Analysis
by: Shahheidari, S., et al.
Published: (2013)

Brand2c: An Analytical Tool For Brand Sentiment Analysis Based On Twitter Data
by: Tan, Jia Hui
Published: (2023)

Thalassemia Screening by Sentiment Analysis on Social Media Platform Twitter
by: M. Aqlan, Wadhah Mohammed, et al.
Published: (2023)

Exploring COVID-19 vaccine sentiment: a Twitter-based analysis of text processing and machine learning approaches
by: Khalaf, Ban Safir, et al.
Published: (2024)

An investigation into the hedging practices of U.S. and non-U.S. airlines
by: Michael, Senior
Published: (2016)

Customer sentiment analysis through social media feedback: A case study on telecommunication company
by: Mat Zain, Siti Nur Syamimi, et al.
Published: (2022)

Sentiment analysis using negative selection algorithm for Twitter’s messages / Nazirah Che Alhadi
by: Che Alhadi, Nazirah
Published: (2012)

Service quality towards customer loyalty in Malaysia's domestic low cost airline service
by: Muhamad Yunus, Nor Sara Nadia, et al.
Published: (2013)

Voice feedback system with sentiment analysis at a University
by: Chan, Jun Jie
Published: (2023)

An Investigation of the Hedging Behaviour and Characteristics of U.S. And EX-U.S. Airlines
by: Mistry, Shailen
Published: (2017)

Exploring the elements of Muslim-friendly airline services
by: Harum, Ahmad Aiman, et al.
Published: (2018)

Depression prediction system from Twitter’s tweet by using sentiment analysis / Nur Amalina Kamaruddin
by: Kamaruddin, Nur Amalina
Published: (2020)

A Mixed Malay–English Language COVID-19 Twitter Dataset: A Sentiment Analysis
by: Kong, Jeffery TH, et al.
Published: (2023)

Customer and Employee Service Quality Management in the Airline Industry
by: Petchi, Cessie Sylvia
Published: (2003)

Speech-to-text and sentiment analysis for a hotel feedback system
by: Lee, Jia Jet
Published: (2023)

Customer satisfaction and purchasing intention in airline service quality: a case study of Malaysia Airlines
by: Hasim, Muhammad Asyraf, et al.
Published: (2018)

Analyzing qualitative feedback using sentiment analysis / Muhammad Mazuan Mahmood
by: Mahmood, Muhammad Mazuan
Published: (2017)

Visualizing the reputation of Malaysian communication service providers through twitter sentiment analysis using naïve bayes / Aidil Amirul Safwan Abdullah Sani
by: Abdullah Sani, Aidil Amirul Safwan
Published: (2020)

Enhancement of sentiment analysis scoring mechanism – A case study on Malaysian Airline industry / Rayvendran Visvalingam
by: Rayvendran , Visvalingam
Published: (2017)

Sentiment Analysis of Hotel Service System
by: Kwang, Chyun Yaw
Published: (2015)

Understanding COVID-19 halal vaccination discourse on facebook and twitter using aspect-based sentiment analysis and text emotion analysis
by: Feizollah, Ali, et al.
Published: (2022)

Online impressions on e-hailing services: A study of positive and negative sentiments on Grab Malaysia and Go-Jek Indonesia on twitter platform
by: Chow, Emily Yan Chi
Published: (2019)

Customer intent prediction using sentiment analysis techniques
by: Lye, Say Hong *, et al.
Published: (2021)

Exploring the Inﬂuence of corporate social responsibility on efﬁciency : An extended dynamic data envelopment analysis of the global airline industry
by: Kao, Fangchen, et al.
Published: (2022)

Aspect-based Sentiment Analysis Model for Evaluating Teachers' Performance from Students' Feedback
by: Bhowmik, Abhijit, et al.
Published: (2023)

Aspect-based sentiment analysis model for evaluating teachers’ performance from students’ feedback
by: Bhowmik, Abhijit, et al.
Published: (2023)

A Study Of Customer/Passenger Perception On Online Airline Reservation Services In Malaysia
by: Lim, Wai Sheong
Published: (2007)

Exploring the influence of corporate social responsibility on efficiency: an extended dynamic data envelopment analysis of the global airline industry
by: Kao, Fang-Chen, et al.
Published: (2022)

Business of love: exploring motivations to use and sentiments towards online dating using big data analytics
by: Elshazly, Ahmed Elsaid Abdelhalim Eliwa
Published: (2018)

Sentiment analysis on UTHM issues with big data
by: Suhaimi, Noor Suhaida, et al.
Published: (2020)

International travelers perception and experience toward airline service quality
by: Boey, Zu Qi
Published: (2019)

A review of ancillary services in the airline industry
by: Liu, Honglin, et al.
Published: (2024)

Event feedback analytic and visualization through Twitter social platform / Muhammad Faiz Sharan
by: Sharan, Muhammad Faiz
Published: (2020)

Service quality elements towards customer satisfaction: A study of Malaysia Airlines passengers / Alia Erfani Abd Ghani
by: Abd Ghani, Alia Erfani
Published: (2017)