Airline Sentiment Visualization, Consumer Loyalty Measurement and Prediction using Twitter Data

Khan, Rida; Urolagin, Siddhaling

doi:10.14569/ijacsa.2018.090652

Cited by 14 publications

(12 citation statements)

References 26 publications

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“…After a disaster occurs, people have a wide range of discussions about the disaster situation. These discussions can be used for disaster monitoring and disaster assessment [19,39].…”

Section: Discussionmentioning

confidence: 99%

“…We use TextBlob [38] to calculate the sentiment value of a tweet. TextBlob is used in many sentiment analysis studies [39][40][41]. It is a Python library for processing textual data and provides an API for performing common natural language processing tasks such as part-of-speech tagging, sentiment analysis, classification, and more.…”

Section: Tweet Sentiment Analysismentioning

confidence: 99%

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Temporal and Spatial Evolution and Influencing Factors of Public Sentiment in Natural Disasters—A Case Study of Typhoon Haiyan

Zhang

Cheng

2021

IJGI

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The public’s attitudes, emotions, and opinions reflect the state of society to a certain extent. Understanding the state and trends of public sentiment and effectively guiding the direction of sentiment are essential for maintaining social stability during disasters. Social media data have become the most effective resource for studying public sentiment. The TextBlob tool is used to calculate the sentiment value of tweets, and this research analyzed the public’s sentiment state during Typhoon Haiyan, used the biterm topic model (BTM) to classify topics, explored the changing process of public discussion topics at different stages during the disaster, and analyzed the differences in people’s discussion content under different sentiments. We also analyzed the spatial pattern of sentiment and quantitatively explored the influencing factors of the sentiment spatial differences. The results showed that the overall public sentiment during Typhoon Haiyan tended to be positive, that compared with positive tweets, negative tweets contained more serious disaster information and more urgent demand information, and that the number of tweets, population, and the proportion of the young and middle-aged populations were the dominant factors in the sentiment spatial differences.

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“…After a disaster occurs, people have a wide range of discussions about the disaster situation. These discussions can be used for disaster monitoring and disaster assessment [19,39].…”

Section: Discussionmentioning

confidence: 99%

Section: Tweet Sentiment Analysismentioning

confidence: 99%

Temporal and Spatial Evolution and Influencing Factors of Public Sentiment in Natural Disasters—A Case Study of Typhoon Haiyan

Zhang

Cheng

2021

IJGI

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“…Recent examples include the WannaCry and NotPetya ransomware attacks, as well as flaws in [47] Medtronic implantable cardiac device programmers, which have harmed health-care delivery capabilities. It is apparent that cybercrime is here to stay due to its profitable nature [48] and low risk level (since cyber thieves can launch assaults from anywhere on the planet). The author of paper [49] feels that social media is now an important component of people's everyday lives and the livelihood of some.…”

Section: Related Workmentioning

confidence: 99%

A Systematic Literature Review on the Cyber Security

Perwej

Abbas

Dixit³

et al. 2021

int.jour.sci.res.mana.

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In recent years, the Internet has become an integral element of people's everyday lifestyles all across the world. Online criminality, on the other hand, has risen in tandem with the growth of Internet activity. Cyber security has advanced greatly in recent years in order to keep up with the rapid changes that occur in cyberspace. Cyber security refers to the methods that a country or organization can use to safeguard its products and information in cyberspace. Two decades ago, the term "cyber security" was barely recognized by the general public. Cyber security isn't just a problem that affects individuals but it also applies to an organization or a government. Everything has recently been digitized, with cybernetics employing a variety of technologies such as cloud computing, smart phones, and Internet of Things techniques, among others. Cyber-attacks are raising concerns about privacy, security, and financial compensation. Cyber security is a set of technologies, processes, and practices aimed at preventing attacks, damage, and illegal access to networks, computers, programmes, and data. The primary goal of this article is to conduct a thorough examination of cyber security kinds, why cyber security is important, cyber security framework, cyber security tools, and cyber security difficulties. Cyber security safeguards the data and integrity of computing assets that are part of or connected to an organization's network, with the goal of defending such assets from all threat actors throughout the life cycle of a cyber-attack.

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“…In paper [1], the author believes that social media today is an integral part of people's daily routines and the livelihood of some. He gives a method to measure consumer loyalty using the data gathered from Twitter.…”

Section: Literature Surveymentioning

confidence: 99%

A Worldwide Analysis of Cyber Security And Cyber Crime using Twitter

Sharma¹,

Bhasin²,

Nalini³

2019

IJEAT

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In the era of social media and the Internet, there has been an exponential increase in threats related to the privacy of user accounts and data. The confidentiality of personal data is compromised for various motives. This sudden increase in security threats has led to widespread problems. Our research is focused on analyzing the extent of cyber-attacks in various countries across the globe. We have proposed a novel approach for analyzing the tweets related to cyber-attacks and its surrounding fields. The analysis proves that Asian countries face more cyber security issues as compared to European countries. Further, it is also analyzed that developing countries like India are more prone to these issues as compare to developed countries like the United States or the United Kingdom.

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Airline Sentiment Visualization, Consumer Loyalty Measurement and Prediction using Twitter Data

Cited by 14 publications

References 26 publications

Temporal and Spatial Evolution and Influencing Factors of Public Sentiment in Natural Disasters—A Case Study of Typhoon Haiyan

Temporal and Spatial Evolution and Influencing Factors of Public Sentiment in Natural Disasters—A Case Study of Typhoon Haiyan

A Systematic Literature Review on the Cyber Security

A Worldwide Analysis of Cyber Security And Cyber Crime using Twitter

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