Sentence examples for words frequencies from inspiring English sources

All machine learning classifiers directly or indirectly rely on words and words' frequencies to classify a document.

WNB adds a term before NB weighting to take the words' frequencies into consideration: begin{aligned} frac{#N w)}{#N} mathrm{max}left( mathrm{sqrt} frac{ mathrm{POS}(w times #N_mathrm{neg}}{ mathrm{NEG}(w times #N_mathrm{pos}}, mathrm{sqrt} frac{ mathrm{NEG}(w times #N_mathrm{pos}}{ mathrm{POS}(w times #N_mathrm{neg}}right) end{aligned} (15).

This entropy contains contributions both from the words' frequencies regardless of their order and from the correlations emerging from word order.

On the other hand, DLP would not apply if 〈ΔI〉≤0 bits/word; words' frequencies of occurrence n(k) then could be said to have provided, if anything, entropy disinformation.

The strategies integrate the words frequency with topological structural information.

In the first, word frequencies (section "Word frequencies") show that both education and learning appear in the top word lists.

The average word frequency for the COWAT was calculated by first averaging the word frequencies for each letter used.

Table 1 Word frequencies for the top-20 words   Titles Freq.

Unlike previous studies which have investigated the interaction of word length and frequency effects in children, we used age-appropriate word frequencies for children.

Word frequencies for articles' titles, keywords and abstracts are shown in Table 1.

Different word frequencies and correspondences for the two different sets of keywords are compared.