In our example, the query becomes “Product: lemon tea” keyword OR “Product:  orange juice” keyword. However, we previously added the NOT operator before  “Product: lemon tea.” Thus, the query returns 43 documents that represent  documents that mention “package” and “pack,” but that are not for the products  “lemon tea” nor “orange juice.”  Now that you have the result set, you can view the documents in the Documents  view, or add other keywords to the query to gain insight into the content. When  we look at the document in the Document view, we see the keyword “leak.”  To investigate further, follow these steps in the Query Builder window  (Figure 5-53): As a result, the query returns 40 documents, as shown in Figure 5-54. 134  IBM Watson Content Analytics: Discovering Actionable Insight from Your Content Figure 5-54 Query Tree with the addition of “Leak” with the AND operator in the query Figure 5-53 Selecting another keyword “Leak” as a keyword query 1. Select the  Product: pack  node in the Query Tree.  2. Change the query type to  Keyword query . 3. In the keyword field, type  Leak . 4. Click the  AND Search  button.