Assuming that each search is represented as an individual document in your input data, there are a couple of ways you could do this. The first way would be to create a topic from terms using the Topics node, where the terms in your topic are the symptoms that might be indicative of this particular disease (you want to make sure these terms exist in your document collection before you use them to create a topic. Otherwise, the term offers no value.). For example, if you wanted to create a topic that identified potential cases of COVID-19, you might add the terms "cough", "fever", "breathing", "difficulty", and "tired" to your topic. Here are the instructions for creating a topic from terms in your document collection: https://go.documentation.sas.com/?activeCdc=ctxtcdc&cdcId=capcdc&cdcVersion=8.5&docsetId=ctxtug&docsetTarget=p0xbh2f7h8311qn1ouwfpvbu5zkw.htm&locale=en&docsetVersion=8.5#n1c4nignhyz472n18t61pj9sifk9 The other way would be to create a category from textual elements using the Categories node. Similar to creating a topic from terms, you can select textual elements and then create a category rule using those elements. This method also gives you the flexibility of choosing an operator. For example, if you only want documents that contain both "cough" and "fever", you would select the "AND" operator to create the rule (AND,("cough","fever")). If you wanted to identify the documents that contained either of the two terms, you would select the "OR" operator to create the rule (OR,("cough","fever")). Here the the instructions for creating category rules from textual elements: https://go.documentation.sas.com/?activeCdc=ctxtcdc&cdcId=capcdc&cdcVersion=8.5&docsetId=ctxtug&docsetTarget=p0ardt2s3i6myvn1ny1c3h5n7iiv.htm&locale=en&docsetVersion=8.5#p1eaxmvoyt447zn1xw3vj81fr2na
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