Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Supporting your high street Find out how »
Graph-based Natural Language Processing and Information Retrieval, Hardback Book

Graph-based Natural Language Processing and Information Retrieval Hardback

Hardback

Out of stock

Description

Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines.

Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users.

However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks.

This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval.

It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks.

Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms.

Information

£59.99

Out of stock
Add to Basket
Sign in to add to wishlist
 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information