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Articles 1 - 4 of 4
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Understanding Types Of Users On Twitter, Muhammad Moeen Uddin, Muhammad Imran, Hassan Sajjad
Understanding Types Of Users On Twitter, Muhammad Moeen Uddin, Muhammad Imran, Hassan Sajjad
Muhammad Imran
People use microblogging platforms like Twitter to involve with other users for a wide range of interests and practices. Twitter profiles run by different types of users such as humans, bots, spammers, businesses and professionals. This research work identifies six broad classes of Twitter users and employs a supervised machine learning approach which uses a comprehensive set of features to classify users into the identified classes. For this purpose, we exploit users' profile and tweeting behavior information. We evaluate our approach by performing 10-fold cross validation using manually annotated 716 different Twitter profiles. High classification accuracy (measured using AUC, and …
Aidr: Artificial Intelligence For Disaster Response, Muhammad Imran, Carlos Castillo, Ji Lucas, Patrick Meier, Sarah Vieweg
Aidr: Artificial Intelligence For Disaster Response, Muhammad Imran, Carlos Castillo, Ji Lucas, Patrick Meier, Sarah Vieweg
Muhammad Imran
We present AIDR (Artificial Intelligence for Disaster Response), a platform designed to perform automatic classification of crisis-related microblog communications. AIDR enables humans and machines to work together to apply human intelligence to large-scale data at high speed. The objective of AIDR is to classify messages that people post during disasters into a set of user-defined categories of information (e.g., "needs", "damage", etc.) For this purpose, the system continuously ingests data from Twitter, processes it (i.e., using machine learning classification techniques) and leverages human-participation (through crowdsourcing) in real-time. AIDR has been successfully tested to classify informative vs. non-informative tweets posted during …
Rethinking The Worker Classification Test: Employees, Entrepreneurship, And Empowerment, Griffin Toronjo Pivateau
Rethinking The Worker Classification Test: Employees, Entrepreneurship, And Empowerment, Griffin Toronjo Pivateau
Griffin Toronjo Pivateau
The structure of the American workplace depends on the ability to distinguish between employees and independent contractors. Unfortunately, the law provides little to guide employers in classifying workers. The legal tests to determine worker status are confusing, yield inconsistent results, and are not suited to the evolving employment relationship. Traditionally, courts examine the amount of control exerted over the putative employee by the employer: The more control exerted by the employer over the work, the more likely it is that the worker will be considered an employee. Control, however, is not the only factor to examine in determining worker status. …
Establishing New Urban Green Spaces Classification For Malaysian Cities, Mehdi Rakhshandehroo, Mohd Johari Mohd Yusof
Establishing New Urban Green Spaces Classification For Malaysian Cities, Mehdi Rakhshandehroo, Mohd Johari Mohd Yusof
mrakhshandehroo@yahoo.com
It is estimated that over 50 per cent of the world’s population now reside in urban areas. Moreover, the United Nations (2010) projects that the world’s urban areas will absorb all of the global population growth over the next four decades, as well as continue to draw some of the rural population. Urban green is often at the center of the debate on urban sustainability, as it is so essential for quality of life. Urban green and open spaces have different values like: ecological, economic, social …. In urban planning usually there is a conflict between urban development and environmental …