The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data Review

Average Reviews:

(More customer reviews)Are you looking to buy The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data? Here is the right place to find the great deals. we can offer discounts of up to 90% on The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data. Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data ReviewThis was one of the few books that included a very clear and extensive treatment of information extraction techniques. There were plenty of diagrams which is great for a visual learner. All the techniques are explained using both plain English and formulas, so that you can pick up the scientific notation with minimal previous knowledge.
Even when the authors plug their own company and research at the end it was moderately useful in illustrating the concepts mentioned in a real world scenario.The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data OverviewText mining tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, this book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, it explores current real-world, mission-critical applications of text mining and link detection in such varied fields as M&A business intelligence, genomics research and counter-terrorism activities.

Want to learn more information about The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data?

>> Click Here to See All Customer Reviews & Ratings Now

Read More...

Scripting Intelligence: Web 3.0 Information Gathering and Processing (Expert's Voice in Open Source) Review

Average Reviews:

(More customer reviews)Are you looking to buy Scripting Intelligence: Web 3.0 Information Gathering and Processing (Expert's Voice in Open Source)? Here is the right place to find the great deals. we can offer discounts of up to 90% on Scripting Intelligence: Web 3.0 Information Gathering and Processing (Expert's Voice in Open Source). Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

Scripting Intelligence: Web 3.0 Information Gathering and Processing (Expert's Voice in Open Source) ReviewThis four-part book is focused on programming techniques and technologies that in the author's opinion can help next generation web applications handle data more "intelligently". The code samples are implemented in Ruby (and a little bit of Java).
Part One (Chapters 1-3) is basically an introduction to text and natural language processing, sampling tools and techniques for extracting raw text from various document types (e.g., pdf to plain text), classifying a document's subject matter (e.g., is this a document on "Health" or "Politics") or overall sentiment direction (degree of positiveness or negativeness), and recognizing entities such as persons and places in text (e.g., is "Florida" in a given sentence referring to a U.S. state, which is a place entity, or a person whose last name is Florida?).
Part Two (Chapters 4-7) provides tutorials on the Semantic Web, explaining what the RDF subject-predicate-object data format is and how a query language like SPARQL supports inferencing. URLs for publicly available RDF data sets, as well as tools and services useful for exploring them are given.
Part Three (Chapters 8-12) covers topics relating to the use of object-relational mapping (e.g., ActiveRecord and DataMapper used in standalone mode) and search (e.g., Lucene and Sphinx) technologies, publishing relational data as RDF data,and strategies for large-scale data storage involving the use of multiple servers, memcached, CouchDB, Amazon S3, or Amazon EC2.
Part Four (Chapters 13-15) includes a really good tutorial on the use of Hadoop-like Map Reduce facilities for large scale data processing, and ties things together by showing how the knowledge learned from previous chapters can be applied to the development of more substantial web applications.
The author uses many open-source gems (Ruby-centric software library) and tools in this book (most will work fine on Linux, Mac, or Windows, and with Ruby 1.8.x or 1.9, but exceptions are reported clearly), so in many cases, you only need to write a limited amount of code to follow along. If you don't want to download and install the gems, Appendix A provides instructions on how to apply for an Amazon Web Services account to access a ready to use Amazon Machine Image put together by the author for use on a rented Amazon EC2 Server Instance.
Because of the breadth of coverage, each technology can only be discussed to a limited depth, which some readers may find adequate and some may not, depending on a reader's interest on a particular topic, but most should still find this book to be a valuable resource, and that the author explains things well and concisely.Scripting Intelligence: Web 3.0 Information Gathering and Processing (Expert's Voice in Open Source) OverviewIntelligent information management is the key to many Web 2.0 applications, and Semantic Web technologies like the SPARQL query language are helping Web 2.0 evolve into Web 3.0. This book addresses how to use Ruby not only for basic information management tasks, but also how to use it with Semantic Web tools like RDF Schema and SPARQL. This book offers practical advice and example code rather than getting bogged down in the academic and theoretical side of information management.This book offers the reader recipes using Ruby for intelligent information management including information extraction from text, using Semantic Web technologies, information gathering (relational database metadata, web scraping, Wikipedia, Freebase), combining information from multiple sources, and strategies for publishing processed information. This book will be a valuable tool for anyone needing to gather, process, and publish web or database information.

Want to learn more information about Scripting Intelligence: Web 3.0 Information Gathering and Processing (Expert's Voice in Open Source)?

>> Click Here to See All Customer Reviews & Ratings Now

Read More...

Information Seeking in Electronic Environments (Cambridge Series on Human-Computer Interaction) Review

Average Reviews:

(More customer reviews)Are you looking to buy Information Seeking in Electronic Environments (Cambridge Series on Human-Computer Interaction)? Here is the right place to find the great deals. we can offer discounts of up to 90% on Information Seeking in Electronic Environments (Cambridge Series on Human-Computer Interaction). Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

Information Seeking in Electronic Environments (Cambridge Series on Human-Computer Interaction) ReviewOk, it's a required textbook for SJSU/SLIS.....when I finished I added it to the Library's collection for other students to use. It's used a lot!Information Seeking in Electronic Environments (Cambridge Series on Human-Computer Interaction) OverviewIn the computer age, it is essential for individuals to develop skills and strategies for manipulating, storing, and retrieving electronic information. This book considers how electronic technologies have changed these skills and strategies and augmented the fundamental human activity of information seeking.Writing from the point of view of the user rather than the computer, the author makes a case for creating new interface designs that allow information seekers to choose what strategy to apply according to their immediate needs. Such systems may be designed by providing information seekers with alternative interface mechanisms for displaying and manipulating multiple levels of representation for information objects. This book is multidisciplinary in approach and aims to bridge the perspectives of information science, computer science and education.It will be essential reading for researchers and graduate students in these fields.

Want to learn more information about Information Seeking in Electronic Environments (Cambridge Series on Human-Computer Interaction)?

>> Click Here to See All Customer Reviews & Ratings Now

Read More...

Building Search Applications: Lucene, LingPipe, and Gate Review

Average Reviews:

(More customer reviews)Are you looking to buy Building Search Applications: Lucene, LingPipe, and Gate? Here is the right place to find the great deals. we can offer discounts of up to 90% on Building Search Applications: Lucene, LingPipe, and Gate. Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

Building Search Applications: Lucene, LingPipe, and Gate ReviewUnfortunately, there are not too many books written on the subject of Information Retrieval as it relates to Java programming, and thankfully, Mr.Konchady's contribution is an excellent resource. It provides a nice balance between the discussion of the theory of Information Retrieval, and providing concrete examples in Java, using Lucene, LingPipe, and Gate (API's for Information Retrieval used in Java). I personally had only heard of Lucene before coming across this book, and was very thankful to learn of the other two (LingPipe, and Gate) afterwards. The book shows the user how to use the above API's together when building an application, which is a great learning opportunity for the reader, because most tutorials available for Lucene, LingPipe, or Gate that you'll find online show you how to use that particular API only, instead of showing you how to use it in conjunction with others to truly harness the power of Information Retrieval with Natural Language Processing, together. The other very nice thing about this book is that the author also introduces the reader to other tools (such as Nutch, WordNet, etc.) that allows the user to provide advanced functionality, without "re-inventing the wheel". This book is a must read for anyone who is serious about learning to develop applications involving Information Retrieval.Building Search Applications: Lucene, LingPipe, and Gate OverviewLucene, LingPipe, and Gate are popular open source tools to build powerful search applications. Building Search Applications describes functions from Lucene that include indexing, searching, ranking, and spelling correction to build search engines. With this book you will learn to: Extract tokens from text using custom tokenizers and analyzers from Lucene, LingPipe, and Gate. Construct a search engine index with an optional backend database to manage large document collections. Explore the wide range of Lucene queries to search an index, understand the ranking algorithm for a query, and suggest spelling corrections. Find the names of people, places, and other entities in text using LingPipe and Gate. Categorize documents by topic using classifiers and build groups of self-organized documents using clustering algorithms from LingPipe. Create a Web crawler to scan the Web, Intranet, or desktop using Nutch. Track the sentiment of articles published on the Web with LingPipe.

Want to learn more information about Building Search Applications: Lucene, LingPipe, and Gate?

>> Click Here to See All Customer Reviews & Ratings Now

Read More...

Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites Review

Average Reviews:

(More customer reviews)Are you looking to buy Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites? Here is the right place to find the great deals. we can offer discounts of up to 90% on Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites. Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites ReviewMining the Social Web does a great job of introducing a wide variety of techniques and wealth of resources for exploring freely available social data and personal information. If you are willing to spend the time tinkering with the examples, the book is pure fun. It offers a nice compliment to Segaran's Programming Collective Intelligence: Building Smart Web 2.0 Applications. The two books overlap but where they do offer different perspectives and explanations of common techniques (e.g., TF-IDF, cosine similarity, Jaccard index). If you are well-versed in data mining the web you may find much of the discussion familiar. If you have only been casually engaged to date, your toolbox will fill quickly.
In order to work with the book's examples related to LinkedIn and Facebook you really need to have a robust collection of connections. In terms of the source code itself, most of it worked as is. I wasn't able to install the Buzz library which limited my interaction with material in chapter 7 and opted to not get involved with the LinkedIn or Facebook but found the discussions around them easy to follow. By far my favorite chapter in the book was chapter 8, "Blogs et al.: Natural Language Processing (and Beyond)..." It was quite fascinating and caused my reading list to grow considerably.Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites Overview
Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they're talking about, or where they're located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed.

Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.

Get a straightforward synopsis of the social web landscape
Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn
Learn how to employ easy-to-use Python tools to slice and dice the data you collect
Explore social connections in microformats with the XHTML Friends Network
Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection
Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits

"Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera

"A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google


Want to learn more information about Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites?

>> Click Here to See All Customer Reviews & Ratings Now

Read More...