Mohlo by se vám také líbit

Více informací o knize Information Extraction: Algorithms and Prospects in a Retrieval Context

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 331 bodů

Anotace knihy

Information extraction regards the processes of structuring and combining content that is explicitly stated or implied in one or multiple unstructured information sources. It involves a semantic classification and linking of certain pieces of information and is considered as a light form of content understanding by the machine. Currently, there is a considerable interest in integrating the results of information extraction in retrieval systems, because of the growing demand for search engines that return precise answers to flexible information queries. Advanced retrieval models satisfy that need and they rely on tools that automatically build a probabilistic model of the content of a (multi-media) document. §The book focuses on content recognition in text. It elaborates on the past and current most successful algorithms and their application in a variety of domains (e.g., news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text). An important part discusses current statistical and machine learning algorithms for information detection and classification and integrates their results in probabilistic retrieval models. The book also reveals a number of ideas towards an advanced understanding and synthesis of textual content.§The book is aimed at researchers and software developers interested in information extraction and retrieval, but the many illustrations and real world examples make it also suitable as a handbook for students.This book covers content recognition in text, elaborating on past and current most successful algorithms and their application in a variety of settings: news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text. Today, there is considerable interest in integrating the results of information extraction in retrieval systems, because of the demand for search engines that return precise answers to flexible information queries.

Parametry knihy

Zařazení knihy Knihy v angličtině Economics, finance, business & management Industry & industrial studies Media, information & communication industries

• Plný název: Information Extraction: Algorithms and Prospects in a Retrieval Context
• Autor: Marie-Francine Moens
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 246
• EAN: 9789048172467
• ISBN: 9048172462
• ID: 01975438
• Nakladatelství: Springer
• Hmotnost: 419 g
• Rozměry: 240 × 160 × 15 mm
• Datum vydání: 22. November 2010

Oblíbené z jiného soudku

---

---

---