Automatic Information Extraction Using Hidden Markov Model

Name: Automatic Information Extraction Using Hidden Markov Model
Brand: VDM Verlag
SKU: 9783639103588
Price: 253.46 RON
Availability: InStock

Amharic Language Text

Autor: Ibrahim Yassin Hamid

Limbă:

Legare: Carte broșată

Editura: VDM Verlag

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253.46 lei

The number and size of documents in electronic formats is rising very rapidly and due to the flexibi...

Informații despre carte

Autor

Ibrahim Yassin Hamid

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2010

Pagini

104

EAN

9783639103588

ISBN

3639103580

Enbook ID

06819342

Editura

VDM Verlag

Greutate

163

Dimensiuni

152 x 229 x 6

Descriere completă

The number and size of documents in electronic formats is rising very rapidly and due to the flexibility and ease of use, huge amount of information is stored in textual formats in unstructured way than structured materials, where important information or interesting knowledge is buried in. Information extraction (IE), which is one of text mining approaches, is found efficient in discovering particular entities or relations between the entities in free texts. This book designs, develops and evaluates an Information Extraction system for Amharic language texts, in which it extracts valuable information from the texts and put them on the predefined slots or attributes. Among a number of techniques and methods available for IE, Hidden Markov Model (HMM), a sequential labeling based method, was selected as a methodology. In this book emphasis has been given to the available algorithms in Hidden Markov Model to build an Information Extraction system and finally simple counting of correct annotations and standard Information Retrieval (IR) performance evaluation techniques was used to evaluate the system.

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Automatic Information Extraction Using Hidden Markov Model

Amharic Language Text

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Descriere completă

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