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Exact(9)
For the alignment-free methods, on the one hand, algorithms based on word frequency are sensitive to the length of words used, and may include noise if taking all the words into account.
One typical method, the class-based output layer method, was proposed, recently, for speeding up RNNLM training [4], based on word frequency.
The second observational study is based on word frequency analysis of the lyrics of popular songs.
For example, they may enable advertisers to do word searches on individual e-mail accounts and direct pitches based on word frequency.
In reference [22], to address low efficiency and poor accuracy of keyword extraction of traditional TF-IDF (term frequency-inverse document frequency) algorithm, a text keyword extraction method based on word frequency statistics is put forward.
Experimental results show that TF-IDF algorithm based on word frequency statistics not only overmatches traditional TF-IDF algorithm in precision ratio, recall ratio, and F1 index in keyword extraction, but also enables to reduce the run time of keyword extraction efficiently.
Similar(50)
They can be generated by many different techniques, ranging from classical approaches based on word frequencies and co-occurrences [9] to neural language models [10].
Most alignment-free methods are based on word frequencies.
Most of these methods are based on word frequencies.
This algorithm, known as the IMEter is based on word pattern frequency at introns.
The second category is alignment-free methods, some of which are based on word (k-mer) frequency.
More suggestions(15)
based on word trigram
based on word length
based on word recognition
based on word co-location
based on word k-mer
based on feature frequency
based on word embedding
based on term frequency
based on word enrichment/depletion
based on word category
based on word usage
based on word boundary
based on word cosine
based on word association
based on time frequency
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