24,489 research outputs found
Formulating representative features with respect to document genre classification
Genre classification (e.g. whether a document
is a scientific article or magazine article) is closely
bound to the physical and conceptual structure of document
as well as the level of depth involved in the text.
Hence, it provides a means of ranking documents retrieved
by search tools according to metrics other than
topical similarity. Moreover, the structural information
derived from genre classification can be used to locate
target information within the text. In previous studies,
the detection of genre classes has been attempted
by using some normalised frequency of terms or combinations
of terms in the document (here, we are using
term as a reference to words, phrases, syntactic
units, sentences and paragraphs, as well as other patterns
derived from deeper linguistic or semantic analysis).
These approaches largely neglect how the term is
distributed throughout the document. Here, we report
the results of automated experiments based on distributive
statistics of words in order to present evidence that
term distribution pattern is a better indicator of genre
class than term frequency.
- …