[PDF] Top 20 Predicting Response to Political Blog Posts with Topic Models

... boldly. Opinions are expressed more blatantly in comments. Comments may help a human (or au- tomated) reader to understand the post more clearly when the main text is too terse, stylized, or technical. Although the main ... See full document

... of blog posts from five blogs: Carpetbagger(CB) 1 , Daily Kos(DK) 2 , Matthew Yglesias(MY) 3 , Red State(RS) 4 , and Right Wing News(RWN) 5 , that focus on American politics made available by (Yano et ... See full document

... of response prediction in news articles (Tsagkias et ...of predicting responses in social networks has been in- vestigated previously: Hong et ...on predicting responses for highly popular items, ... See full document

... a generic document in that the text of a discus- sion thread is created by multiple authors (users participating in the thread). Further, the text of a discussion can be divided into individual user messages, each ... See full document

... Although only 1,5% of army including 35 jets, 37 helicopters, 246 armed vehicles, 3 ships, 3,992 weapons were involved in the coup, a mass arrest and purge was started right after the coup [7]. One day after the failed ... See full document

... The difficult themes I ran across were written from different perspectives, such as through the lenses of mothers going through a struggle, professionals suggesting coping methods, and companies and organizations ... See full document

... and examine them manually. Manual examina- tion reveals a strong responsive pattern in peak- ing trends. One typical example is the Republican spike in topic 30 on March 10. The statement at Figure 1 is very ... See full document

... the blog posts of these three initiatives, this paper will focus particularly upon the ways in which Tearfund Rhythms, the Christian Aid Collective and SPEAK use popular culture, categorising their various ... See full document

... effects models has also been widely criticised by a number of scholars (Barry and Howard, 1990, Weilbacher, 2001, Barry, 2002), with some questioning the linear progression as well as the sequence of ...effects ... See full document

... trending topic to find out what makes it tick, gather information about the posts mentioning the topic to a maximum of up to 1500 posts and from that, the data is analyzed to investigate any ... See full document

... the blog- posts – we could see that the ANEW usage pat- terns of happy/cheerful and angry/p*ssed off are well ...tagged posts and least likely found in the happy/cheerful ...the posts tagged ... See full document

... • We perform experiments on OLID using different machine learning models for each level of the annotation, thus setting important baselines to compare to in future work. While each of these sub-tasks tackles a ... See full document

... make and sell sanitary towels at 10% the cost of commercial alternatives and deliver free education on menstruation in schools, churches and community groups. It supplies schools with clean Eco-San toilets, giving the ... See full document

... We train PLTM with 100 topics on corpora with p ∈ {0.01, 0.05, 0.1, 0.25, 0.5}. We use 1000 it- erations of Gibbs sampling with β = 0.01. Hy- perparameters αm are re-estimated every 10 it- erations. We calculate the ... See full document

... This paper presented an analysis and a prediction model for language specificity of social media posts. We collected a dataset of 7,267 tweets labeled for specificity on a 5 point scale. We built a regression ... See full document

... with blog posts to evaluate whether the newspaper practice is close to war-journalism and, on the contrary, blogosphere practices show inclination to peace ...Extant blog literature has argued blog’s ... See full document

... single topic is useful to alleviate the data sparsity ...microblog posts organized as conver- sation trees and the estimated leader probabilities of tree nodes, we assume that each message only contains a ... See full document

... 100 posts from 100 users in each of four age groups (under-18, 19-29, 30-39, over-40 years) and by clustering users’ posts fifty at a time we trained a maximum entropy classifier to predict author age group ... See full document

... All rubric scores for writing skills were analyzed using correlated t-tests. With a significance level of 0.05, 3 of the 4 writing skills improved significantly from the first to the last blog post. Purpose was ... See full document

... initiate blog comments; both of these speech acts are regarded as more formulaic in nature and are associated with “a very small number of lexical items and syntactic patterns” (Holmes 1988: 452; see also Manes ... See full document