Monitoring the Web Sentiment, The Italian Prime Minister's Case

Neri, Federico; Geraci, Paolo; Camillo, Furio

doi:10.1109/asonam.2010.26

Cited by 7 publications

(5 citation statements)

References 3 publications

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“…Social media offers tourists a platform to share their views, feelings, and sentiments about their experiences ( Li, Xu, Tang, Wang, & Li, 2018 ). Sentiment analysis is one of the most common techniques for analyzing online text data on social media ( Khong, Teng, Butt, & Muritala, 2021 ; Muritala, Sánchez-Rebull, & Hernández-Lara, 2020 ) and at a relatively low cost ( Neri, Geraci, & Camillo, 2010 ). Sentiment analysis and opinion mining are used interchangeably ( Feldman, 2013 ), although the use of the term “opinion mining” has been declining in the tourism and hospitality literature ( Muritala et al, 2020 ).…”

Section: Methodsmentioning

confidence: 99%

#CoronavirusCruise: Impact and implications of the COVID-19 outbreaks on the perception of cruise tourism

Muritala

Hernández‐Lara

Rebull

et al. 2022

Tourism Management Perspectives

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Early in the COVID-19 pandemic, the Diamond Princess became the center of the largest outbreak outside the original epicenter in China. This outbreak which left 712 passengers infected and 14 dead, followed by subsequent outbreaks affecting over one-third of the active ships in the cruise industry's global fleet, quickly became a crisis that captured public attention and dominated mainstream news and social media. This study investigates the perception of cruising during these outbreaks by analyzing the tweets on cruising using Natural Language Processing (NLP). The findings show a prevalent negative sentiment in most of the analyzed tweets, while the criticisms directed at the cruise industry were based on perceptions and stereotypes of the industry before the pandemic. The study provides insight into the concerns raised in these conversations and highlights the need for new business models outside the pre-pandemic mass-market model and to genuinely make cruising more environmentally friendly.

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Section: Methodsmentioning

confidence: 99%

#CoronavirusCruise: Impact and implications of the COVID-19 outbreaks on the perception of cruise tourism

Muritala

Hernández‐Lara

Rebull

et al. 2022

Tourism Management Perspectives

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“…The revolution in information technology has helped in making Web Sentiment Analysis at less cost than ever before, even if an excess of information has always meant a no usable knowledge. The most valuable information is often encoding thousands of textual pages, whose automatic treatment is inextricably linked to the automatic lexical analysis and semantic synthesis of contents [7]. Federico et al also stated that regardless of much advancement in Natural Language Processing (NLP), this field is still a long way from a full Natural Language Understanding (NLU).…”

Section: Literature Surveymentioning

confidence: 99%

“…The decision-making process is affected by the opinions formed by thought leaders and ordinary people" [21]. Federico et al [7] and the researchers considered that the Web is a huge virtual space to express individual opinions and influence many aspect of life. Internet contains a treasure of data that can be mined to detect valuable opinions, with inferences even in the political field.…”

Section: Literature Surveymentioning

confidence: 99%

Mining emotions (anger & fear) from Indian army fans page on Facebook

Sherawat

2015

2015 International Conference on Advances in Computer Engineering and Applications

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Usage of social media is becoming an inescapable part of all of us. When people with similar interest interact with each other they eventually lead to a discussion. While a person expresses his point of view then there is an impact of his words those who are listening by having some perceptions in their mind. How a person perceives or accepts any view of some other person also has an impact on their thinking as well. They either have a positive impact or a negative impact on them, and this impact leads to some positive or negative comments by that person. And at certain stages the negativity in the group increases so much that it leads to some ill-impacts on the society.

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“…Dawoud et al [16] combined several common measurements in social network 970 analysis to measure the organizational strength of terrorist networks. Neri et al [17] took the scandal of Italian Prime Minister as an example to demonstrate the strategies in analyzing, tagging, and clustering news articles to discover the relationships and sentiment orientations within them.…”

Section: Related Workmentioning

confidence: 99%

Mining open source text documents for intelligence gathering

Yang

Lee

2012

2012 International Symposium on Information Technologies in Medicine and Education

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Intelligence collection and analysis always play a major role in a company's growth. Traditional intelligence management process was most concealed and required massive human effort. It also has the disadvantages of rarity and danger. Therefore open source intelligence (OSINT) emerged as a major intelligence collection and analysis approach. Differing from traditional approach, the sources of OSINT are publicly accessible and have the properties of openness and massiveness which may result in disadvantages of inconsistency and lack of validation. For now, most of the OSINT processing is conducted manually which requires massive human effort and time cost. Automatic processing of OSINT is then unavoidable for modern applications. Although there exists software services to aid such automatic processing, the functionality and degree of automation are still immature and limited. In this work we developed an automatic processing approach for OSINT based on proposed text mining techniques. This approach may automatically identify interesting events from various aspects from which business could benefit. The major contribution of this work is that we have developed high-order mining techniques for OSINT, which will benefit domains like national security, personal kuowledge management, business intelligence, e-learning, etc.

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Monitoring the Web Sentiment, The Italian Prime Minister's Case

Cited by 7 publications

References 3 publications

#CoronavirusCruise: Impact and implications of the COVID-19 outbreaks on the perception of cruise tourism

#CoronavirusCruise: Impact and implications of the COVID-19 outbreaks on the perception of cruise tourism

Mining emotions (anger & fear) from Indian army fans page on Facebook

Mining open source text documents for intelligence gathering

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Monitoring the Web Sentiment, The Italian Prime Minister's Case

Cited by 7 publications

References 3 publications

#CoronavirusCruise: Impact and implications of the COVID-19 outbreaks on the perception of cruise tourism

#CoronavirusCruise: Impact and implications of the COVID-19 outbreaks on the perception of cruise tourism

Mining emotions (anger &amp; fear) from Indian army fans page on Facebook

Mining open source text documents for intelligence gathering

Contact Info

Product

Resources

About

Mining emotions (anger & fear) from Indian army fans page on Facebook