multidocs {LSAfun} | R Documentation |
Comparison of sentence sets
Description
Computes cosine values between sets of sentences and/or documents
Usage
multidocs(x,y=x,chars=10,tvectors=tvectors,remove.punctuation=TRUE,
stopwords = NULL,method ="Add")
Arguments
x |
a character vector containing different sentences/documents |
y |
a character vector containing different sentences/documents ( |
chars |
an integer specifying how many letters (starting from the first) of each sentence/document are to be printed in the row.names and col.names of the output matrix |
tvectors |
the semantic space in which the computation is to be done (a numeric matrix where every row is a word vector) |
remove.punctuation |
removes punctuation from |
stopwords |
a character vector defining a list of words that are not used to compute the document/sentence vector for |
method |
the compositional model to compute the document vector from its word vectors. The default option |
Details
In the traditional LSA approach, the vector D for a document (or a sentence) consisting of the words (t1, . , tn) is computed as
D = \sum\limits_{i=1}^n t_n
This is the default method (method="Add"
) for this function. Alternatively, this function provided the possibility of computing the document vector from its word vectors using element-wise multiplication (see Mitchell & Lapata, 2010 and compose
).
This function computes the cosines between two sets of documents (or sentences).
The format of x
(or y
) should be of the kind x <- c("this is the first text","here is another text")
(or y <- c("this is a third text","and here is yet another text"))
A note will be displayed whenever not all words of one input string are found in the semantic space. Caution: In that case, the function will still produce a result, by omitting the words not found in the semantic space. Depending on the specific requirements of a task, this may compromise the results. Please check your input when you receive this message.
A warning message will be displayed whenever no word of one input string is found in the semantic space.
Value
A list of three elements:
cosmat |
A numeric matrix giving the cosines between the input sentences/documents |
xdocs |
A legend for the row.names of |
ydocs |
A legend for the col.names of |
Author(s)
Fritz Guenther
References
Landauer, T.K., & Dumais, S.T. (1997). A solution to Plato's problem: The Latent Semantic Analysis theory of acquisition, induction and representation of knowledge. Psychological Review, 104, 211-240.
Dennis, S. (2007). How to use the LSA Web Site. In T. K. Landauer, D. S. McNamara, S. Dennis, & W. Kintsch (Eds.), Handbook of Latent Semantic Analysis (pp. 35-56). Mahwah, NJ: Erlbaum.
Mitchell, J., & Lapata, M. (2010). Composition in Distributional Models of Semantics. Cognitive Science, 34, 1388-1429.
See Also
cosine
,
Cosine
,
multicos
,
costring
Examples
data(wonderland)
multidocs(x = c("alice was beginning to get very tired.",
"the red queen greeted alice."),
y = c("the mad hatter and the mare hare are having a party.",
"the hatter sliced the cup of tea in half."),
tvectors=wonderland)