sentence_to_vector

Function creates a matrix with word embeddings using a given model.

internal

The goal of 'blocking' is to provide blocking methods for record linkage and deduplication using approximate nearest neighbour (ANN) algorithms and graph techniques. It supports multiple ANN implementations via 'rnndescent', 'RcppHNSW', 'RcppAnnoy', and 'mlpack' packages, and provides integration with the 'reclin2' package. The package generates shingles from character strings and similarity vectors for record comparison, and includes evaluation metrics for assessing blocking performance including false positive rate (FPR) and false negative rate (FNR) estimates. For details see: Papadakis et al. (2020) <doi:10.1145/3377455>, Steorts et al. (2014) <doi:10.1007/978-3-319-11257-2_20>, Dasylva and Goussanou (2021) <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X202100200002>, Dasylva and Goussanou (2022) <doi:10.1007/s42081-022-00153-3>.

Maciej Ber<c4><99>sewicz

blocking

Various Blocking Methods for Entity Resolution

Maciej Beręsewicz

Adam Struzik

sentence_to_vector function

<dl><dt>sentences</dt>
<dd>a character vector,</dd>
<dt>model</dt>
<dd>a matrix containing word embeddings (e.g., GloVe).</dd></dl>

Arguments

Sentence to vector — sentence_to_vector

<dl>

<dt>sentences</dt>
<dd>a character vector,</dd>


<dt>model</dt>
<dd>a matrix containing word embeddings (e.g., GloVe).</dd>

</dl>

sentence_to_vector: Sentence to vector

Description

Usage

Arguments