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Identifying Real or Fake Articles: Towards better Language Modeling

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Academic year: 2020

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Figure

Figure 1: Histogram for the ratio of perplexities withrespect to Trigram and Quadgram Language modelsover the training set
Figure 2: Histograms of topical redundancy features computed over the training set. In (b) , the medianvalues for the fake articles are close to zero and hence cannot be seen clearly.
Table 1: Distribution of article lengths for trainingdataset.

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