July 2010
Intermediate to advanced
532 pages
18h 11m
English
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Chapter 7. Extracting text with Tika
This chapter covers
- Understanding Tika’s logical design
- Using Tika’s built-in tool and APIs for text extraction
- Parsing XML
- Handling known Tika limitations
One of the more mundane yet vital steps when building a search application is extracting text from the documents you need to index. You might be lucky to have an application whose content is already in textual format or whose documents are always the same format, such as XML files or regular rows in a database. If you’re unlucky, you must instead accept the surprisingly wide plethora of document formats that are popular today, such as Outlook, Word, Excel, PowerPoint, Visio, Flash, PDF, Open Office, Rich Text Format (RTF), and even archive file formats ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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