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VectrixDB (version 1.1.2)

TextAnalyzer: Text Analyzer

Description

Text analyzer for search indexing

Provides text processing pipelines:

  • Tokenization

  • Lowercasing

  • Stopword removal

  • Stemming

  • Synonym expansion

Arguments

Public fields

lowercase

Convert to lowercase

remove_stopwords

Remove stopwords

stopwords

Set of stopwords

stemmer

Stemmer object

synonyms

Synonym dictionary

min_token_length

Minimum token length

max_token_length

Maximum token length

token_pattern

Regex pattern for tokens

Methods

Method new()

Create a new TextAnalyzer

Usage

TextAnalyzer$new(
  lowercase = TRUE,
  remove_stopwords = FALSE,
  stopwords = NULL,
  use_stemmer = FALSE,
  synonyms = NULL,
  min_token_length = 1,
  max_token_length = 100,
  token_pattern = "[a-zA-Z0-9]+"
)

Arguments

lowercase

Lowercase text (default: TRUE)

remove_stopwords

Remove stopwords (default: FALSE)

stopwords

Custom stopwords (default: ENGLISH_STOPWORDS)

use_stemmer

Use stemming (default: FALSE)

synonyms

Named list of synonyms

min_token_length

Min length (default: 1)

max_token_length

Max length (default: 100)

token_pattern

Regex pattern

Method analyze()

Analyze text and return tokens

Usage

TextAnalyzer$analyze(text)

Arguments

text

Input text

Returns

Character vector of tokens

Method analyze_query()

Analyze a query string

Usage

TextAnalyzer$analyze_query(query)

Arguments

query

Query text

Returns

Character vector of tokens

Method clone()

The objects of this class are cloneable with this method.

Usage

TextAnalyzer$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

Run this code
if (FALSE) {
analyzer <- TextAnalyzer$english()
tokens <- analyzer$analyze("The quick brown foxes are jumping")
# c("quick", "brown", "fox", "jump")
}

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