text. Techniques such as custom dictionaries and syntax rules can help extract  this valuable data from free-form text, and make it available in a facet for new  ways to explore your data set.  The next section describes several scenarios, explaining how you can define a  dictionary or custom text analysis rules with the sample data to potentially  discover additional insights from your data. To better help you understand how to perform content analysis, this section  includes the following scenarios, which include use of the content analytics miner  views, and iterative improvement of facets: For the procedures to create the associated custom dictionary and custom text  analysis rules, see 8.2.2, “Configuring the Dictionary Lookup annotator” on  page 282, and 8.3, “Configuring the Pattern Matcher annotator” on page 291. Before you proceed with the scenarios, see Chapter 3, “Designing content  analytics solutions” on page 41 and Chapter 4, “Understanding content analysis”  on page 59, if you have not already done so. This scenario explains how to use a custom dictionary to discover  package-related calls to the call center. The Facet Pairs view is used for this  scenario.  Though the sample collection does include problem category and subcategory  facets, we will imagine (for the sake of this tutorial) that this data does not initially  exist, and that we need to somehow create it by looking for package-related  words in our collection.  Tip for finding candidates for a dictionary entry or rule:  The best resource  for finding words and patterns is your collection data. The predefined Part of  Speech and Phrase Constituent facets provide good candidates. The Terms of  Interest facet also shows a candidate list if it is enabled.  240  IBM Watson Content Analytics: Discovering Actionable Insight from Your Content 7.2.1 Scenario 1: Using a custom dictionary to discover package- related calls 7.2 Content analysis scenarios for the sample collection GLYPH<SM590000> Scenario 1: Using a custom dictionary to discover package- related calls GLYPH<SM590000> Scenario 2: Using custom text analysis rules to discover trouble-related calls GLYPH<SM590000> Scenario 3: Discovering the cause of increasing calls