Automatic Indexing and Abstracting of Document Texts summarizes the
latest techniques of automatic indexing and abstracting, and the results
of their application. It also places the techniques in the context of
the study of text, manual indexing and abstracting, and the use of the
indexing descriptions and abstracts in systems that select documents or
information from large collections. Important sections of the book
consider the development of new techniques for indexing and abstracting.
The techniques involve the following: using text grammars, learning of
the themes of the texts including the identification of representative
sentences or paragraphs by means of adequate cluster algorithms, and
learning of classification patterns of texts. In addition, the book is
an attempt to illuminate new avenues for future research.
Automatic Indexing and Abstracting of Document Texts is an excellent
reference for researchers and professionals working in the field of
content management and information retrieval.