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Unsupervised Word Usage Similarity in Social Media Texts

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Academic year: 2020

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Figure

Table 1: The number of tweets for each word in eachbackground corpus (“Orig” = O= Etains the same number of tweets as ERIGINAL; “Exp”XPANDED; RANDEXPANDED, not shown, con-XPANDED).
Table 2: Spearman rank correlation (ρ) for eachmethod based on each background corpus
Table 3: Spearman’s ρ using LDA for the optimal Tfor each lemma (Per lemma) and the best Tover alllemmas (Global) using ORIGINAL and EXPANDED.ρ values that are significant at the 0.05 level areshown in bold.

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