Extracting Knowledge From Opinion Mining


Extracting Knowledge From Opinion Mining
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Extracting Knowledge From Opinion Mining


Extracting Knowledge From Opinion Mining
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Author : Agrawal, Rashmi
language : en
Publisher: IGI Global
Release Date : 2018-09-07

Extracting Knowledge From Opinion Mining written by Agrawal, Rashmi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-07 with Computers categories.


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.



Data Mining And Knowledge Discovery For Big Data


Data Mining And Knowledge Discovery For Big Data
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Author : Wesley W. Chu
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-09-24

Data Mining And Knowledge Discovery For Big Data written by Wesley W. Chu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-24 with Technology & Engineering categories.


The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for patterns in complex structural information. In biomedicine for example, modeling complex biological systems requires linking knowledge across many levels of science, from genes to disease. Further, the data characteristics of the problems have also grown from static to dynamic and spatiotemporal, complete to incomplete, and centralized to distributed, and grow in their scope and size (this is known as big data). The effective integration of big data for decision-making also requires privacy preservation. The contributions to this monograph summarize the advances of data mining in the respective fields. This volume consists of nine chapters that address subjects ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.



Advances In Data Science And Classification


Advances In Data Science And Classification
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Author : Alfredo Rizzi
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-08

Advances In Data Science And Classification written by Alfredo Rizzi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-08 with Mathematics categories.


International Federation of Classification Societies The International Federation of Classification Societies (lFCS) is an agency for the dissemination of technical and scientific information concerning classification and multivariate data analysis in the broad sense and in as wide a range of applications as possible; founded in 1985 in Cambridge (UK) by the following Scientific Societies and Groups: - British Classification Society - BCS - Classification Society of North America - CSNA - Gesellschaft fUr Klassification - GfKI - Japanese Classification Society - JCS - Classification Group ofItalian Statistical Society - CGSIS - Societe Francophone de Classification - SFC Now the IFCS includes also the following Societies: - Dutch-Belgian Classification Society - VOC - Polish Classification Section - SKAD - Portuguese Classification Association - CLAD - Group at Large - Korean Classification Society - KCS IFCS-98, the Sixth Conference of the International Federation of Classification Societies, was held in Rome, from July 21 to 24, 1998. Five preceding conferences were held in Aachen (Germany), Charlottesville (USA), Edinburgh (UK), Paris (France), Kobe (Japan).



Data Mining And Knowledge Discovery Handbook


Data Mining And Knowledge Discovery Handbook
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Author : Oded Maimon
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-10

Data Mining And Knowledge Discovery Handbook written by Oded Maimon and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-10 with Computers categories.


This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.



Data Mining And Knowledge Discovery With Evolutionary Algorithms


Data Mining And Knowledge Discovery With Evolutionary Algorithms
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Author : Alex A. Freitas
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11

Data Mining And Knowledge Discovery With Evolutionary Algorithms written by Alex A. Freitas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Computers categories.


This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics



Post Mining Of Association Rules Techniques For Effective Knowledge Extraction


Post Mining Of Association Rules Techniques For Effective Knowledge Extraction
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Author : Zhao, Yanchang
language : en
Publisher: IGI Global
Release Date : 2009-05-31

Post Mining Of Association Rules Techniques For Effective Knowledge Extraction written by Zhao, Yanchang and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-31 with Computers categories.


Provides a systematic collection on post-mining, summarization and presentation of association rules, and new forms of association rules.



Web Data Mining And The Development Of Knowledge Based Decision Support Systems


Web Data Mining And The Development Of Knowledge Based Decision Support Systems
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Author : Sreedhar, G.
language : en
Publisher: IGI Global
Release Date : 2016-12-21

Web Data Mining And The Development Of Knowledge Based Decision Support Systems written by Sreedhar, G. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-21 with Computers categories.


Websites are a central part of today’s business world; however, with the vast amount of information that constantly changes and the frequency of required updates, this can come at a high cost to modern businesses. Web Data Mining and the Development of Knowledge-Based Decision Support Systems is a key reference source on decision support systems in view of end user accessibility and identifies methods for extraction and analysis of useful information from web documents. Featuring extensive coverage across a range of relevant perspectives and topics, such as semantic web, machine learning, and expert systems, this book is ideally designed for web developers, internet users, online application developers, researchers, and faculty.



Opinion Mining And Sentiment Analysis


Opinion Mining And Sentiment Analysis
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Author : Bo Pang
language : en
Publisher: Now Publishers Inc
Release Date : 2008

Opinion Mining And Sentiment Analysis written by Bo Pang and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Data mining categories.


This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems.



Mining Structures Of Factual Knowledge From Text


Mining Structures Of Factual Knowledge From Text
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Author : Xiang Ren
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Mining Structures Of Factual Knowledge From Text written by Xiang Ren and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.


The real-world data, though massive, is largely unstructured, in the form of natural-language text. It is challenging but highly desirable to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and methodologies of mining structures of factual knowledge (e.g., entities and their relationships) from massive, unstructured text corpora. Departing from many existing structure extraction methods that have heavy reliance on human annotated data for model training, our effort-light approach leverages human-curated facts stored in external knowledge bases as distant supervision and exploits rich data redundancy in large text corpora for context understanding. This effort-light mining approach leads to a series of new principles and powerful methodologies for structuring text corpora, including (1) entity recognition, typing and synonym discovery, (2) entity relation extraction, and (3) open-domain attribute-value mining and information extraction. This book introduces this new research frontier and points out some promising research directions.



Natural Language Processing And Text Mining


Natural Language Processing And Text Mining
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Author : Anne Kao
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-03-06

Natural Language Processing And Text Mining written by Anne Kao and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-06 with Computers categories.


Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.