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Guizhe Song and Degen Huang
The massive amount of data generated by social media present a unique opportunity for disaster analysis. As a leading social platform, Twitter generates over 500 million Tweets each day. Due to its real-time characteristic, more agencies employ Twitter t...
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Rahul Deb Das
In this work, we present a novel approach to understand the quality of public transit system in resource constrained regions using user-generated contents. With growing urban population, it is getting difficult to manage travel demand in an effective way...
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Mingda Wang and Guangmin Hu
Twitter sentiment analysis is an effective tool for various Twitter-based analysis tasks. However, there is still no neural-network-based research which takes both the tweet-text information and user-connection information into account. To this end, we p...
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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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Amr Mohamed El Koshiry, Entesar Hamed I. Eliwa, Tarek Abd El-Hafeez and Ahmed Omar
Social media platforms have become the primary means of communication and information sharing, facilitating interactive exchanges among users. Unfortunately, these platforms also witness the dissemination of inappropriate and toxic content, including hat...
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Chih-yuan Li, Michael Renda, Fatima Yusuf, James Geller and Soon Ae Chun
Since the start of the COVID-19 pandemic, government authorities have responded by issuing new public health policies, many of which were intended to contain its spread but ended up limiting economic and social activities. The citizen responses to these ...
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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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Graeme Mearns, Rebecca Simmonds, Ranald Richardson, Mark Turner, Paul Watson and Paolo Missier
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Graeme Mearns, Rebecca Simmonds, Ranald Richardson, Mark Turner, Paul Watson and Paolo Missier
Tweet My Street is a cross-disciplinary project exploring the extent to which data derived from Twitter can reveal more about spatial and temporal behaviours and the meanings attached to these locally. This is done with a longer-term view to supporting t...
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Salama Shady, Vera Paola Shoda and Takashi Kamihigashi
This paper presents a comprehensive analysis of the social media posts of prefectural governors in Japan during the COVID-19 pandemic. It investigates the correlation between social media activity levels, governors? characteristics, and engagement metric...
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Santosh Kumar Banbhrani, Bo Xu, Haifeng Liu and Hongfei Lin
Hashtags are considered important in various real-world applications, including tweet mining, query expansion, and sentiment analysis. Hence, recommending hashtags from tagged tweets has been considered significant by the research community. However, whi...
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Muhammad G. Almatar, Huda S. Alazmi, Liuqing Li and Edward A. Fox
Researchers have developed various approaches for exploring the spatial information, temporal patterns, and Twitter content in topics of interest in order to generate a better understanding of human behavior; however, few investigations have integrated t...
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Adi Mulia,Akhmad Rizal Dzikrillah
Pág. 318 - 328
Penelitian ini dilakukan dengan tujuan yang didasarkan pada masalah yang muncul di masyarakat, yaitu kenaikan harga BBM. Metode klasifikasi sentimen yang diterapkan dalam penelitian ini adalah dengan menggunakan kamus korpus leksikon yang memperhitungkan...
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Amaal Aldawod, Raseel Alsakran and Hend Alrasheed
Studying people?s opinions is a growing research field. This area of research is known as sentiment analysis. The COVID-19 pandemic changed everything around the world and reduced social contact among people. Citizens and residents of Saudi Arabia experi...
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Alexandros Britzolakis, Haridimos Kondylakis and Nikolaos Papadakis
Sentiment Analysis is an actively growing field with demand in both scientific and industrial sectors. Political sentiment analysis is used when a data analyst wants to determine the opinion of different users on social media platforms regarding a politi...
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Jingchao Yang, Manzhu Yu, Han Qin, Mingyue Lu and Chaowei Yang
Social media data have been used to improve geographic situation awareness in the past decade. Although they have free and openly availability advantages, only a small proportion is related to situation awareness, and reliability or trustworthiness is a ...
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Diane Gan and Lily R. Jenkins
This research investigates the privacy issues that exist on social networking sites. It is reasonable to assume that many Twitter users are unaware of the dangers of uploading a tweet to their timeline which can be seen by anyone. Enabling geo-location t...
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Noradila Rusli, Nor Zahida Nordin, Ak Mohd Rafiq Ak Matusin, Janatun Naim Yusof, Muhammad Solehin Fitry Rosley, Gabriel Hoh Teck Ling, Muhammad Hakimi Mohd Hussain and Siti Zalina Abu Bakar
The government enacted the Movement Control Order (MCO) to curb the spread of the COVID-19 pandemic in Malaysia, restricting movement and shutting down several commercial enterprises around the nation. The crisis, which lasted over two years and featured...
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Aditya Singhal and Vijay Mago
The use of Twitter by healthcare organizations is an effective means of disseminating medical information to the public. However, the content of tweets can be influenced by various factors, such as health emergencies and medical breakthroughs. In this st...
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