Extracting Knowledge From Opinion Mining - Image 1

Price loading...

IGI Global Extracting Knowledge From Opinion Mining

Name: Extracting Knowledge From Opinion Mining
Brand: IGI Global

Data Mining

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Data mining techniques are commonly used to extract meaningful information from the web, such as data from web documents, website usage logs, and hyperlinks. Building on this, modern organizations are focusing on running and improving their business methods and returns by using opinion mining. Extracting Knowledge From Opinion Mining is an essential resource that presents detailed information on web mining, business intelligence through opinion mining, and how to effectively use knowledge retrieved through mining operations. While highlighting relevant topics, including the differences between ontology-based opinion mining and feature-based opinion mining, this book is an ideal reference source for information technology professionals within research or business settings, graduate and post-graduate students, as well as scholars.

Product Specifications

Brand: IGI Global
Format: Paperback
ASIN: 1522587802
Category: Books > Subjects > Computing & Internet > Databases > Data Storage & Management > Data Mining
Domain: Amazon UK
Release Date: 07 September 2018
Listed Since: 25 February 2020

Barcode

No barcode data available

IGI Global Extracting Knowledge From Opinion Mining

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Extracting Knowledge From Opinion Mining (Advances in Data Mining and Database Management)

Sentiment Analysis and Knowledge Discovery in Contemporary Business (Advances in Business Information Systems and Analytics)

Data Mining and Knowledge Discovery Technologies (Advances in Data Warehousing and Mining)

Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances (Premier Reference Source)

Web Mining: Applications and Techniques

Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains (Advances in Data Mining and Database Management)

Web Data Mining and the Development of Knowledge-Based Decision Support Systems (Advances in Data Mining and Database Management)

Integration of Data Mining in Business Intelligence Systems (Advances in Business Strategy and Competitive Advantage)

IGI Global Data Mining and Medical Knowledge Management Book

Advanced Practical Approaches to Web Mining Techniques and Application

Understanding, Implementing, and Evaluating Knowledge Management in Business Settings (e-Book Collection - Copyright 2022)

Cognitive Social Mining Applications - IGI Global Reference

Collaborative Filtering Using Data Mining and Analysis (Advances in Data Mining and Database Management)

Web Semantics Ontology

Cognitive Social Mining Applications in Data Analytics and Forensics (Advances in Social Networking and Online Communities)

Web Usage Mining Techniques and Applications Across Industries (Advances in Data Mining and Database Management)

Advanced Data Mining Technologies in Bioinformatics

Optimizing Big Data Management and Industrial Systems With Intelligent Techniques (Advances in Data Mining and Database Management)

Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence (Advances in Business Information Systems and Analytics)

Social Media Data Extraction and Content Analysis (Advances in Data Mining and Database Management)

Crowdsourcing and Knowledge Management in Contemporary Business Environments (Advances in Logistics, Operations, and Management Science)

Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications (Premier Reference Source)

Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)

Business Science Reference - Crowdsourcing & Knowledge Management