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Full-Text Articles in Physical Sciences and Mathematics
Comparing Elm With Svm In The Field Of Sentiment Classification Of Social Media Text Data, Zhihuan Chen, Zhaoxia Wang, Zhiping Lin, Ting Yang
Comparing Elm With Svm In The Field Of Sentiment Classification Of Social Media Text Data, Zhihuan Chen, Zhaoxia Wang, Zhiping Lin, Ting Yang
Research Collection School Of Computing and Information Systems
Machine learning has been used in various fields with thousands of applications. Extreme learning machine (ELM), which is the most recently developed machine learning algorithm, has become increasingly popular for its good generalization ability. However, it has been relatively less applied to the domain of social media. Support Vector Machine (SVM), another popular learning-based algorithm, has been applied for sentiment classification of social media text data and has obtained good results. This paper investigates and compares the capabilities of these two learning-based methods in the field of sentiment classification of social media. The results indicate that SVM can obtain good …
Mining Temporal Activity Patterns On Social Media, Nikan Chavoshi
Mining Temporal Activity Patterns On Social Media, Nikan Chavoshi
Computer Science ETDs
Social media provide communication networks for their users to easily create and share content. Automated accounts, called bots, abuse these platforms by engaging in suspicious and/or illegal activities. Bots push spam content and participate in sponsored activities to expand their audience. The prevalence of bot accounts in social media can harm the usability of these platforms, and decrease the level of trustworthiness in them. The main goal of this dissertation is to show that temporal analysis facilitates detecting bots in social media. I introduce new bot detection techniques which exploit temporal information. Since automated accounts are controlled by computer programs, …
Social Media Policy To Support Employee Productivity In The Finance Industry, David Shaun Rogers
Social Media Policy To Support Employee Productivity In The Finance Industry, David Shaun Rogers
Walden Dissertations and Doctoral Studies
Business leaders may see social media as a distraction for their workers; however, blocking access could lead to a reduction in productivity. Using social media technologies with knowledge workers could achieve cost reductions for payroll of 30% to 35%. The purpose of this multiple case study was to explore how business leaders used a social media policy to support employee productivity. The conceptual framework for this study was social exchange theory, which supports the notion that dyad and small group interactions make up most interactions, and such interactions enhance employees' productivity. The research question was to explore how finance industry …
Aligning Social Media, Mobile, Analytics, And Cloud Computing Technologies And Disaster Response, William Tuley Worthy
Aligning Social Media, Mobile, Analytics, And Cloud Computing Technologies And Disaster Response, William Tuley Worthy
Walden Dissertations and Doctoral Studies
After nearly 2 decades of advances in information and communications technologies (ICT) including social media, mobile, analytics, and cloud computing, disaster response agencies in the United States have not been able to improve alignment between ICT-based information and disaster response actions. This grounded theory study explored emergency response ICT managers' understanding of how social media, mobile, analytics, and cloud computing technologies (SMAC) are related to and can inform disaster response strategies. Sociotechnical theory served as the conceptual framework to ground the study. Data were collected from document reviews and semistructured interviews with 9 ICT managers from emergency management agencies in …