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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Exploring The Agenda-Setting Dynamics Between Traditional Newspapers And Twitter During Mass Shooting Event, Yujin Heo
Theses and Dissertations
The purpose of this dissertation is to explore the intermedia agenda-setting interplay between traditional news media and Twitter in the wake of mass shooting incidents. Applying Latent Dirichlet Allocation (LDA) topic modeling to data sourced from Twitter, national, and local news, the study investigated the distinct coverage patterns and the extent of their reciprocal influence over time. The findings of this study demonstrated that, in the immediate aftermath of a shooting incident, national news outlets exerted a significant agenda-setting influence on both local media and Twitter discourse. However, as time unfolds, a mutually influential dynamic emerged across all media platforms. …
A Novel Approach For Classifying Gene Expression Data Using Topic Modeling, Soon Jye Kho, Himi Yalamanchili, Michael L. Raymer, Amit Sheth
A Novel Approach For Classifying Gene Expression Data Using Topic Modeling, Soon Jye Kho, Himi Yalamanchili, Michael L. Raymer, Amit Sheth
Kno.e.sis Publications
Understanding the role of differential gene expression in cancer etiology and cellular process is a complex problem that continues to pose a challenge due to sheer number of genes and inter-related biological processes involved. In this paper, we employ an unsupervised topic model, Latent Dirichlet Allocation (LDA) to mitigate overfitting of high-dimensionality gene expression data and to facilitate understanding of the associated pathways. LDA has been recently applied for clustering and exploring genomic data but not for classification and prediction. Here, we proposed to use LDA inclustering as well as in classification of cancer and healthy tissues using lung cancer …
Predicting Events Surrounding The Egyptian Revolution Of 2011 Using Learning Algorithms On Micro Blog Data, Benedikt Boecking, Margeret A. Hall, Jeff Schneider
Predicting Events Surrounding The Egyptian Revolution Of 2011 Using Learning Algorithms On Micro Blog Data, Benedikt Boecking, Margeret A. Hall, Jeff Schneider
Interdisciplinary Informatics Faculty Proceedings & Presentations
We aim to predict activities of political nature in Egypt which influence or reflect societal-scale behavior and beliefs by using learning algorithms on Twitter data. We focus on capturing domestic events in Egypt from November 2009 to November 2013. To this extent we study underlying communication patterns by evaluating content-based and meta-data information in classification tasks without targeting specific keywords or users. Classification is done using Support Vector Machines (SVM) and Support Distribution Machines (SDM). Latent Dirichlet Allocation (LDA) is used to create content-based input patterns for the classifiers while bags of Twitter meta-information are used with the SDM to …