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Yosra Didi, Ahlam Walha and Ali Wali
In March 2020, the World Health Organisation declared that COVID-19 was a new pandemic. This deadly virus spread and affected many countries in the world. During the outbreak, social media platforms such as Twitter contributed valuable and massive amount...
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Ola Karajeh, Dirar Darweesh, Omar Darwish, Noor Abu-El-Rub, Belal Alsinglawi and Nasser Alsaedi
Social media sites are considered one of the most important sources of data in many fields, such as health, education, and politics. While surveys provide explicit answers to specific questions, posts in social media have the same answers implicitly occu...
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Amgad Muneer and Suliman Mohamed Fati
The advent of social media, particularly Twitter, raises many issues due to a misunderstanding regarding the concept of freedom of speech. One of these issues is cyberbullying, which is a critical global issue that affects both individual victims and soc...
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Jim Samuel, G. G. Md. Nawaz Ali, Md. Mokhlesur Rahman, Ek Esawi and Yana Samuel
Along with the Coronavirus pandemic, another crisis has manifested itself in the form of mass fear and panic phenomena, fueled by incomplete and often inaccurate information. There is therefore a tremendous need to address and better understand COVID-19?...
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Jorge E. Camargo, Vladimir Vargas-Calderon, Nelson Vargas, Liliana Calderón-Benavides
Pág. 1 - 12
With the purpose of classifying text based on its sentiment polarity (positive or negative), we proposed an extension of a 68,000 tweets corpus through the inclusion of word definitions from a dictionary of the Real Academia Espa\~{n}ola de la Lengua (RA...
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Stefan Helmstetter and Heiko Paulheim
The problem of automatic detection of fake news in social media, e.g., on Twitter, has recently drawn some attention. Although, from a technical perspective, it can be regarded as a straight-forward, binary classification problem, the major challenge is ...
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Eike Blomeier, Sebastian Schmidt and Bernd Resch
In the early stages of a disaster caused by a natural hazard (e.g., flood), the amount of available and useful information is low. To fill this informational gap, emergency responders are increasingly using data from geo-social media to gain insights fro...
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Huda Lughbi, Mourad Mars and Khaled Almotairi
The pervasive reach of social media like the X platform, formerly known as Twitter, offers unique opportunities for real-time analysis of cyberattack developments. By parsing and classifying tweets related to cyberattacks, we can glean valuable insights ...
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Ahmed Shahzad, Bushra Zafar, Nouman Ali, Uzma Jamil, Abdulaziz Jarallah Alghadhban, Muhammad Assam, Nivin A. Ghamry and Elsayed Tag Eldin
Respiratory viruses known as coronaviruses infect people and cause death. The multiple crown-like spikes on the virus?s surface give them the name ?corona?. The pandemic has resulted in a global health crisis and it is expected that every year we will ha...
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Sicong Kuang and Brian D. Davison
Twitter is a popular source for the monitoring of healthcare information and public disease. However, there exists much noise in the tweets. Even though appropriate keywords appear in the tweets, they do not guarantee the identification of a truly health...
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Lamia Bendebane, Zakaria Laboudi, Asma Saighi, Hassan Al-Tarawneh, Adel Ouannas and Giuseppe Grassi
Social media occupies an important place in people?s daily lives where users share various contents and topics such as thoughts, experiences, events and feelings. The massive use of social media has led to the generation of huge volumes of data. These da...
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Tianyi Xie, Yaorong Ge, Qian Xu and Shi Chen
Understanding different aspects of public concerns and sentiments during large health emergencies, such as the COVID-19 pandemic, is essential for public health agencies to develop effective communication strategies, deliver up-to-date and accurate healt...
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Vrushang Patel, Sheela Ramanna, Ketan Kotecha and Rahee Walambe
Text classification aims to assign labels to textual units such as documents, sentences and paragraphs. Some applications of text classification include sentiment classification and news categorization. In this paper, we present a soft computing techniqu...
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Andrea Rondinelli, Lorenzo Bongiovanni and Valerio Basile
Topic classification is the task of mapping text onto a set of meaningful labels known beforehand. This scenario is very common both in academia and industry whenever there is the need of categorizing a big corpus of documents according to set custom lab...
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Aisha Adel, Nazlia Omar, Salwani Abdullah and Adel Al-Shabi
The process of eliminating irrelevant, redundant and noisy features while trying to maintain less information loss is known as a feature selection problem. Given the vast amount of the textual data generated and shared on the internet such as news report...
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Barakat AlBadani, Ronghua Shi and Jian Dong
Twitter sentiment detectors (TSDs) provide a better solution to evaluate the quality of service and product than other traditional technologies. The classification accuracy and detection performance of TSDs, which are extremely reliant on the performance...
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Heba Ismail, Ashraf Khalil, Nada Hussein and Rawan Elabyad
This research proposes a well-being analytical framework using social media chatter data. The proposed framework infers analytics and provides insights into the public?s well-being relevant to education throughout and post the COVID-19 pandemic through a...
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Monika Rani,Dian Prawira,Nurul Mutiah
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Procurement of the COVID-19 vaccination has led to diverse opinions among Indonesian people on Twitter. Sentiment analysis on Twitter can be carried out to find out public opinion, especially among Twitter users. The data was used in the form of tweets w...
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Dan Claudiu Neagu, Andrei Bogdan Rus, Mihai Grec, Mihai Augustin Boroianu, Nicolae Bogdan and Attila Gal
With the increased popularity of social media platforms such as Twitter or Facebook, sentiment analysis (SA) over the microblogging content becomes of crucial importance. The literature reports good results for well-resourced languages such as English, S...
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Giannis Haralabopoulos, Ioannis Anagnostopoulos and Derek McAuley
Sentiment analysis usually refers to the analysis of human-generated content via a polarity filter. Affective computing deals with the exact emotions conveyed through information. Emotional information most frequently cannot be accurately described by a ...
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