Product Information
Nowadays, electronic documents are the main resource to store a huge amount of information on several fields. Usually, this information is in the form of text that implies a big effort to extract the patterns of interest. Text mining aims to manage and extract knowledge from unstructured documents. In the last years, several techniques have been addressed to recognize entities and concepts, categorize documents, analyze the opinions and the sentiments of the writers, and extract the information of interest for the readers. Summarization approaches are suitable for identifying relevant sentences that describe the main concepts presented in the documents and provide to the readers only a useful subset of information according to the topic of the document set or to the major user interests. In this book we discuss the state-of-art of summarization research field and we present some new summarization techniques.Product Identifiers
PublisherLap Lambert Academic Publishing
ISBN-139783659716874
eBay Product ID (ePID)216819117
Product Key Features
SubjectEngineering & Technology
Publication Year2015
Number of Pages136 Pages
Publication NameDocument Analysis by Means of Data Mining Techniques
LanguageEnglish
TypeTextbook
AuthorFiori Alessandro, Jabeen Saima
FormatPaperback
Dimensions
Item Height229 mm
Item Weight209 g
Additional Product Features
Title_AuthorJabeen Saima, Fiori Alessandro