Each topic is presented as a vector of terms with the probability between 0 and 1.
The most common text representation with a reasonable performance is splitting text into a vector of terms [74, 77].
The r term is a vector of terms to account for interactions between the levels of different attributes.
Finally, each official gene symbol and aliases are represented as a vector of terms and their relative frequencies.
Where, D t is a vector of deterministic term (constant, trend etc)., n for lagged difference term, ∆x t − i term for ARMA structure of the error and ε t is for white nose (error term).
(2) We need to construct vectors of terms as well as documents in order to determine which terms tend to be characteristic of the same documents.
Therefore, by using the Weight Matrix, it is possible to calculate the cosine of the angle between the vectors of terms, which are representative of the documents, to define the distance between them.
Clearly, to use any variant of the vector space model, each folder must be represented as a vector of constituent term weights.
In each i th document, d ̄ i is represented as a feature vector of the terms t j that appear in this document as follows [5]: d ̄ i = ( t i, 1, t i, 2, …, t i, N ).
This approach handles the signal in a systematic and general fashion, by slicing it into consecutive, possibly overlapping frames (typically 50 milliseconds) from which a vector of short-term features is computed.
