content_image/988117.jpg
server responds to requests. See Figure 7-22 as an example of a Content Classification Quick Start Tool interface for defining classification behavior. 

<img src='content_image/988117.jpg'>

See Chapter 9, “Content analysis with IBM Content Classification and document clustering” on page 305 for additional details about using Document clustering and classification techniques with Content Analytics. 

## 7.4 Preferred practices 

Text mining and gaining insight into your content is an iterative process. The following best-practice approach is based on years of field experiences: 

GLYPH<SM590000> Assess your content and goals to determine which out-of-box analytics (Named Entity Recognition, Sentiment, Terms of Interest, and so on) will be valuable to configure. 

GLYPH<SM590000> Start your analysis with a small collection. This makes it quicker to index the collection and allows more iterations of changes and tests. Gradually increase collection size as you get closer to a configuration that meets your goals. 

GLYPH<SM590000> Follow the normal procedure several times: 

– Crawl, parse, index, and inspect the content by using the content analytics miner. 

