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Books > Social sciences > Education > Organization & management of education > Examinations & assessment
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Developing a Keyword Extractor and Document Classifier - Emerging Research and Opportunities (Hardcover)
Loot Price: R5,333
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Developing a Keyword Extractor and Document Classifier - Emerging Research and Opportunities (Hardcover)
Series: InfoSci-Books - Copyright 2021
Expected to ship within 18 - 22 working days
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The main problems that prevent fast and high-quality document
processing in electronic document management systems are
insufficient and unstructured information, information redundancy,
and the presence of large amounts of undesirable user information.
The human factor has a significant impact on the efficiency of
document search. An average user is not aware of the advanced
option of a query language and uses typical queries. Development of
a specialized software toolkit intended for information systems and
electronic document management systems can be an effective solution
of the tasks listed above. Such toolkits should be based on the
means and methods of automatic keyword extraction and text
classification. The categorization (or classification) of texts
into predefined categories has witnessed a booming interest in the
last 10 years due to the increased availability of documents in
digital form and the ensuing need to organize them. Thus, research
on keyword extraction, advancements in the field, and possible
future solutions is of great importance in current times.
Developing a Keyword Extractor and Document Classifier: Emerging
Research and Opportunities presents an information extraction
mechanism that can process many kinds of inputs, realize the type
of text, and understand the percentage of the keywords that has to
be stored. This mechanism then supports information extraction and
information categorization mechanisms. This module is used to
support a text summarization mechanism, which leads-with the help
of the keyword extraction module-to text categorization. It employs
lexical and information retrieval techniques to extract phrases
from the document text that are likely to characterize it and
determines the category of the retrieved text to present a summary
to the users. This book is ideal for practitioners, stakeholders,
researchers, academicians, and students who are interested in the
development of a new keyword extractor and document classifier
method.
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