Term Relative Frequency Value

References

(Wikipedia, 2009) ⇒ http://en.wikipedia.org/wiki/Tf%E2%80%93idf#Mathematical_details
- The term count in the given document is simply the number of times a given term appears in that document. This count is usually normalized to prevent a bias towards longer documents (which may have a higher term count regardless of the actual importance of that term in the document) to give a measure of the importance of the term [math]\displaystyle{ t_{i} }[/math] within the particular document [math]\displaystyle{ d_{j} }[/math]. Thus we have the term frequency, defined as follows. :[math]\displaystyle{ \mathrm{tf_{i,j}} = \frac{n_{i,j}}{\sum_k n_{k,j}} }[/math] where [math]\displaystyle{ n_{i,j} }[/math] is the number of occurrences of the considered term ([math]\displaystyle{ t_{i} }[/math]) in document [math]\displaystyle{ d_{j} }[/math], and the denominator is the sum of number of occurrences of all terms in document [math]\displaystyle{ d_{j} }[/math].

(Mitkov, 2003) ⇒ Ruslan Mitkov, editor. (2003). “The Oxford Handbook of Computational Linguistics." Oxford University Press. ISBN:019927634X
- QUOTE: term frequency (tf): A measurement of the frequency of a word or term within a particular document. Term frequency reflects how well that term describes the document contents.