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 Automatic Keyword Extraction. Combining Machine Learning and Natural Language Processing
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Automatic Keyword Extraction. Combining Machine Learning and Natural Language Processing

автор Anette H. издательство Книга по Требованию Локальные и корпоративные сети
Cтраниц 140        мягкая обложка       
Аннотация:More specifically it discusses the development of an algorithm for automatic keyword extraction and presents a number of experiments in which the performance of the algorithm is incrementally improved. This is a book for anybody in the field of language technology who is interested in the applicable but challenging area of automatic keyword indexing. In order to make further progress in the field of automatic text retrieval, approaches extending current standard full text indexing methods need to be investigated. The work presented is linguistically oriented in the sense that the output from natural language processing tools is a considerable factor both for the pre-processing of the data, as well as for the performance of the prediction models. That a keyword is extracted means that it is present verbatim in the document to which it is assigned. The approach taken is that of supervised machine learning, that is, prediction models are constructed from documents with known keywords. This book advocates keyword indexing as one such feasible approach. Automatic keyword extraction is the task of automatically selecting a small set of terms describing the content of a single document.
Автор: Anette H.
Издательство: Книга по Требованию
Год:2008
Цена:
2415 руб
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Поиск: Automatic Keyword Extraction. Combining Machine Learning and Natural Language Processing



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