scicloj.ml.smile.nlp — scicloj/scicloj.ml.smile 5.04

->vocabulary-top-n clj

(->vocabulary-top-n bows n)

bow->something-sparse clj

(bow->something-sparse ds bow-col indices-col bow->sparse-fn options)

Converts a bag-of-word column bow-col to a sparse data column indices-col. The exact transformation to the sparse representtaion is given by bow->sparse-fn

bow->sparse clj

(bow->sparse ds bow-col indices-col bow->sparse-fn vocabulary)

bow->sparse-and-vocab clj

(bow->sparse-and-vocab ds
                       bow-col
                       indices-col
                       bow->sparse-fn
                       {:keys [create-vocab-fn]
                        :or {create-vocab-fn create-vocab-all}})

Converts a bag-of-word column bow-col to a sparse data column indices-col. The exact transformation to the sparse representtaion is given by bow->sparse-fn

bow->sparse-indices clj

(bow->sparse-indices bow vocab->index-map)

Converts the token-frequencies to the sparse vectors needed by Maxent

bow->tfidf clj

(bow->tfidf ds bow-column tfidf-column)

Calculates the tfidf score from bag-of-words (as token frequency maps) in column bow-column and stores them in a new column tfid-column as maps of token->tfidf-score.

count-vectorize clj

(count-vectorize ds text-col bow-col)

(count-vectorize
  ds
  text-col
  bow-col
  {:keys [text->bow-fn] :or {text->bow-fn default-text->bow} :as options})

Converts text column text-col to bag-of-words representation in the form of a frequency-count map

create-vocab-all clj

(create-vocab-all bow)

Uses all tokens as the vocabulary

default-text->bow clj

(default-text->bow text options)

Converts text to token counts (a map token -> count). Takes options: stopwords being either a keyword naming a default Smile dictionary (:default :google :comprehensive :mysql) or a seq of stop words. stemmer being either :none or :porter for selecting the porter stemmer.

default-tokenize clj

(default-tokenize text options)

Tokenizes text. The usage of a stemmer can be configured by options :stemmer

freqs->SparseArray clj

(freqs->SparseArray freq-map vocab->index-map)

idf clj

(idf tf-map term bows)

resolve-stopwords clj

(resolve-stopwords stopwords-option)

tf clj

(tf term bow)

tf-map clj

(tf-map bows)

tfidf clj

(tfidf tf-map term bow bows)

word-process clj

(word-process stemmer normalizer word)