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aboutAI.net Weekly Features
    Document Warehousing and Text Mining
Document Warehousing and Text Mining
A review of the book 'Document Warehousing and Text Mining: Techniques for Improving Business Operations, Marketing, and Sales' by Don Sullivan

As they say in editorial reviews, "this guide for database and data warehouse developers and managers describes the process of building and managing a document warehouse, the organization of unstructured text to facilitate storage and retrieval, and the use of text mining techniques." Although too general, this sentence neatly summarizes the content of the book and describes the intended audience. This was one of the first books covering such broad area, and I was eager to see how the author succeed in presenting so many related topics.

The answer is clear... With is clear, no nonsense approach, Dan Sullivan answered the fundamental questions about text mining and document warehousing. He provided lots of detailed examples for implementing document warehouses, not just visions from 5000 feet up. Of course, he doesn't really drill into numerous details of the actual implementation. To be honest, I don't see how it could fit in only one book. However, it would be nice to find a book covering such details, but in the meantime, this is an essential resource for people building business intelligence, decision support, market news, intellectual property and other knowledge-based resources.

The book cover says that it teaches you to...

  • Design the architecture of a document warehouse
  • Find and retrieve text documents from multiple sources
  • Load information into the warehouse and transform it to the desired form
  • Select the right tools to thematically index, categorize, cluster, and summarize text
  • Adapt the appropriate meta data for your document warehouse
  • Use text mining for operational management, customer relationship management, and competitive analysis
  • Ensure the security and privacy of your document warehouse

    ...and I must admit this is only a part of to material covered inside. It also provides you with "hands-on" tutorials on working with various commercial text mining packages, along with short code snippets in Perl, Python, SQL, etc. The author published various additional materials at companion Web site. If you want to get a feeling about the type of information contained in Sullivan's book, this is a place to visit.

    I've been working with text mining and related techniques for many years, but this is probably the first "down to earth" resource that systematically describes the whole field. I used it during the design process of aboutAI.net, as it employs various text mining solutions. Thumbs up!

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