Select the most similar texts to a specific text
Arguments
- sample
This is a single row of a
quantedadfm representing the sample to match.- pool
This is a dfm containing all possible samples from which to select the top n.
- coefficient
The coefficient to use for similarity. Either "minmax", "cosine", or "Phi".
- n
The number of rows to extract from the pool of potential samples.
Value
The function returns a dfm containing the top n most similar rows to the input sample using the minmax distance.
Examples
text1 <- "The cat sat on the mat"
text2 <- "The dog sat on the chair"
text3 <- "Violence is the last refuge of the incompetent"
c <- quanteda::corpus(c(text1, text2, text3))
d <- quanteda::tokens(c) |> quanteda::dfm() |> quanteda::dfm_weight(scheme = "prop")
most_similar(d[1,], d[-1,], coefficient = "minmax", n = 1)
#> Document-feature matrix of: 1 document, 13 features (61.54% sparse) and 0 docvars.
#> features
#> docs the cat sat on mat dog chair violence is
#> text2 0.3333333 0 0.1666667 0.1666667 0 0.1666667 0.1666667 0 0
#> features
#> docs last
#> text2 0
#> [ reached max_nfeat ... 3 more features ]