Cosine

Computes the cosine similarity for two single words

Provides functions that allow for convenient working with vector space models of semantics/distributional semantic models/word embeddings.
Originally built for LSA models (hence the name), but can be used for all such vector-based models.
For actually building a vector semantic space, use the package 'lsa' or other specialized software.
Downloadable semantic spaces can be found at <https://sites.google.com/site/fritzgntr/software-resources>.

Fritz Guenther

LSAfun

Applied Latent Semantic Analysis (LSA) Functions

Fritz Guenther 

Cosine function

<dl> <dt>x</dt>
<dd>A single word, given as a character of <code>length(x) = 1</code></dd> <dt>y</dt>
<dd>A single word, given as a character of <code>length(y) = 1</code></dd> <dt>tvectors</dt>
<dd>the semantic space in which the computation is to be done (a numeric matrix where every row is a word vector)</dd></dl>

Arguments

Author

Compute cosine similarity — Cosine

<dl>

 <dt>x</dt>
<dd>A single word, given as a character of <code>length(x) = 1</code></dd>

 <dt>y</dt>
<dd>A single word, given as a character of <code>length(y) = 1</code></dd>

 <dt>tvectors</dt>
<dd>the semantic space in which the computation is to be done (a numeric matrix where every row is a word vector)</dd>



</dl>

Cosine: Compute cosine similarity

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples