Thursday, November 26, 2009

Programming ASPNET or Natural Language Processing for Online Applications

Programming ASP.NET

Author: Jesse Liberty

ASP.NET is the successor technology to Active Server Pages (ASP), the world's most successful development environment for building server-side web applications. ASP.NET leverages the power of Microsoft's new .NET platform to allow you to write dynamic, data-driven applications that run over the World Wide Web. In Programming ASP.NET, Jesse Liberty and Dan Hurwitz teach you everything you need to know to write web applications and web service. The book focuses on ASP.NET development using both C# and Visual Basic .NET, and coding examples are presented in both languages.

Programming ASP.NET includes a detailed tutorial on Web Forms, which, in conjunction with Visual Studio .NET, allow you to apply Rapid Application Development techniques (including drag-and-drop control placement) to web development. Programming ASP.NET includes extensive coverage of each type of server control, including web server controls, HTML server controls, and custom controls. Since most web applications and web services involve retrieving data and returning it to a client browser, Programming ASP.NET also offers extensive coverage of data access issues. These include topics such as using ASP.NET's list-bound controls, accessing data using the ADO.NET object model, and updating data with or without transaction support.

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Natural Language Processing for Online Applications: Text Retrieval, Extraction and Categorization

Author: Peter Jackson

This text covers the emerging technologies of document retrieval, information extraction, and text categorization in a way which highlights commonalities in terms of both general principles and practical issues. It seeks to satisfy a need on the part of technology practitioners in the internet space, faced with having to make difficult decisions as to what research has been done and what the best practices are. It is not intended as a vendor guide (such things are quickly out of date), or as a recipe for building applications (such recipes are very context-dependent). But it does identify the key technologies, the issues involved, and the strengths and weaknesses of the various approaches. There is also a strong emphasis on evaluation in every chapter, both in terms of methodology (how to evaluate) and what controlled experimentation and industrial experience have to tell us.

Table of Contents:
Ch. 1Natural language processing1
Ch. 2Document retrieval23
Ch. 3Information extraction75
Ch. 4Text categorization119
Ch. 5Towards text mining173

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