[PDF] Top 20 Authorship Attribution with Author aware Topic Models
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Authorship Attribution with Author aware Topic Models
... Baseline: LDA + Hellinger (LDA-H). This ap- proach uses the Hellinger distances of topic dis- tributions to assign test texts to the closest author. In (Seroussi et al., 2011), we experimented with two ... See full document
6
Author aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews
... most topic models are concerned about the discourse at word level, and ignore the document ...2007) models topic coherence by considering topic tran- sition between ...a topic ... See full document
10
Authorship Attribution Using Text Distortion
... examined models on the opinion articles of the cross-topic Guardian cor- pus as follows: one thematic category was used as training corpus, another was used as validation corpus (to estimate the best ... See full document
12
Authorship Attribution with Latent Dirichlet Allocation
... The topic distributions are used as features for a binary SVM classifier that discrimi- nates between ...thorship attribution only in a limited study that con- sidered just stopwords (Rajkumar et ...lose ... See full document
9
Leveraging Discourse Information Effectively for Authorship Attribution
... pairwise author classifications, where a non-discourse model captures lexical and syntac- tic ...their models produce overall un- remarkable performance ... See full document
10
An Off the shelf Approach to Authorship Attribution
... We deploy the following four kernels to represent documents: the first kernel is made of 484 func- tion words taken from (Koppel and Schler, 2003), the second contains part-of-speech (POS) tags, the third is assembled by ... See full document
10
Influence of compression distance measures on Authorship Attribution
... on authorship attribution using various features and with various ...judge authorship. The function words for authorship attribution is considered in ...for authorship ... See full document
8
Authorship Attribution in Health Forums
... The forums listed above consist of several sub-forums, e.g., the Cycle Friends forum con- sists of Introductions, IVF/FET/IUI Cycle Bud- dies, IVF Ages 35+ and other. Every sub-forum contains of a number of topics ... See full document
9
Continuous N gram Representations for Authorship Attribution
... For all datasets, early stopping was used on the development sets and models trained with the Adam update rule (Kingma and Ba, 2015). Since none of the datasets have a standard develop- ment set, we randomly ... See full document
7
Literary authorship attribution with phrase structure fragments
... The task of authorship attribution (for an overview cf. Stamatatos, 2009) is typically performed with su- perficial features of texts such as sentence length, word frequencies, and use of punctuation & ... See full document
5
A Deep Context Grammatical Model For Authorship Attribution
... Our model performs slightly below the SVM at highest sample sizes, and significantly below at some smaller sizes. This is somewhat expected since the SVM weights differ- ent features in order to differentiate the ... See full document
5
Sparse Coding in Authorship Attribution for Polish Tweets
... of authorship attribu- tion of tweets written in ...per author. We also juxtaposed results for authors with different topic back- grounds against each ... See full document
9
Lost in Translation: Authorship Attribution using Frame Semantics
... of authorship markers may be influenced by topics (Stein et ...the attribution methods in this ...thorship attribution have focused on the case of at- tributing texts among a small (N < 10) class ... See full document
6
Authorship Attribution Using Probabilistic Context Free Grammars
... of authorship pre- diction, we hypothesized that the frequency of specific stop words could provide useful infor- mation about the author’s writing ...generative models are known to perform better than ... See full document
5
Language and Task Independent Text Categorization with Simple Language Models
... n-gram models. However, there are two exceptions—Greek authorship attribution and Greek text genre classification—where Good-Turing smoothing is not as effective as other techniques, even though it ... See full document
8
Short Text Authorship Attribution via Sequence Kernels, Markov Chains and Author Unmasking: An Investigation
... via the use of probabilistic models based on n-grams (Clement and Sharp, 2003) and Markov chains of characters and words (Peng et al., 2004). Diederich et al. (2003) showed that Support Vector Machines (SVMs), ... See full document
10
The Effect of Author Set Size in Authorship Attribution for Lithuanian
... same author are written in different manners, thus the quality of texts varies (sometimes more typing errors or ...the author from longer text ...comprehensive models which in turn are more robust in ... See full document
10
Cross Topic Authorship Attribution: Will Out Of Topic Data Help?
... The AA methods can be useful in applied areas such as law and journalism where the identification of the true author of a piece of text (such as a ransom note) may be able to save lives or help prosecute ... See full document
10
Authorship Attribution and Author Profiling of Lithuanian Literary Texts
... each author in literary works is expressed more clearly, therefore the drop in the accuracy when adding new authors to the dataset was not as steep as with parliamentary transcripts or forum ...same author ... See full document
10
Authorship Attribution with Topic Models
... Authorship attribution deals with identifying the authors of anonymous ...blogs. Authorship attribution of such on-line texts is a more challenging task than traditional author- ship ... See full document
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