The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic
Citations
1,693 citations
Cites background from "The Use of Twitter to Track Levels ..."
...…et al (2011) [102] Tian (2010) [74]Rajagopalan et al (2011) [103] Bender et al (2011)a[78]Setoyama et al (2011) [108] Chou et al (2011)b[80]Signorini et al (2011) [111] Doing-Harris & Zeng-Treitler (2011) [81]Turner-McGrievy & Tate (2011) [112] Egan & Moreno (2011a)a[83]Usher et al…...
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789 citations
773 citations
Cites background from "The Use of Twitter to Track Levels ..."
...This is perhaps surprising, as health promotion and public health researchers now pay considerable attention to the potential of the internet as a tool to diffuse health-related information (Chew and Eysenbach, 2010; Ritterband and Tate, 2009; Murray et al., 2009; Scanfeld et al., 2010; Signorini et al., 2011), employing smart phones and other mobile technologies in preventative interventions (Abroms et al....
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539 citations
Cites background from "The Use of Twitter to Track Levels ..."
...Examples of social media applications in health include (but are not limited to) access to educational resources by clinicians and patients [1-3], generation of content rich reference resources (eg, Wikipedia) [4], evaluation and reporting of real-time flu trends [5], catalyzing outreach during (public) health campaigns [6,7], and recruitment of patients to online studies and in clinical trials [8-11]....
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505 citations
References
40,826 citations
"The Use of Twitter to Track Levels ..." refers background or methods in this paper
...For the estimation work reported here, we relied on the widely adopted open-source libSVM implementation [17]....
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...[17], training on 32 times on each 31 week subset of the training...
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13,736 citations
"The Use of Twitter to Track Levels ..." refers methods in this paper
...For the estimation work reported here, we relied on the widely adopted open-source libSVM implementation [17]....
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...Commonly-used learning methods include neural networks, Bayesian classifiers, nearest-neighbor methods, and so on; here, we use SVMs. SVMs use quadratic programming, a numerical optimization technique, to calculate a maximum-margin separator, the hyperplane that maximally separates data points belonging to different classes in the multidimensional feature space, while tolerating only a prespecified error rate....
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...To determine the relative contribution of each influenza-related Twitter term, we used Support Vector Regression [14], an instance of the more general class of Support Vector Machines (SVM) [15], a supervised learning method generally applied to solve classification problems [16]....
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...When used for regression, SVMs produce a nonlinear model that minimizes a preselected linear-error-cost function where features serve as regression variables....
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4,009 citations
"The Use of Twitter to Track Levels ..." refers methods in this paper
...To determine the relative contribution of each influenza-related Twitter term, we used Support Vector Regression [14], an instance of the more general class of Support Vector Machines (SVM) [15], a supervised learning method generally applied to solve classification problems [16]....
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3,984 citations
"The Use of Twitter to Track Levels ..." refers background in this paper
...For example, in the case of influenza, search engine query data from Yahoo [2] and Google [3] are known to be closely associated with seasonal influenza activity, and to a limited extent, actually provide some information about seasonal disease trends that precede official reports of disease activity....
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...A client-side JavaScript application was created to display a continuously-updated Google map with the 500 most recently matched tweets, yielding a real-time view of flu-related public sentiment in geographic context....
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3,976 citations
"The Use of Twitter to Track Levels ..." refers background in this paper
..., happiness) [8], and to monitor the impact of earthquake effects [9]....
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