Hi Group, Sorry for cross posting!
We need to index a document corpus (news articles) with some meta data features. The meta data are actually company names with some scoring (a double, between 0 to 1). For example, two documents can be - document 1 (some text - say a technical article from NY times). It comes with the metadata like - IBM - 0.5 Google - 0.9 Apple - 0.3 where 0.5, 0.9, 0.3 are some confidence scores for the company names. Similarly, the document 2 is about some IT article and then the meta data are like - IBM - 0.6 Google - 0.1 Apple - 0.4 now we can index the documents based on the contents or the company names easily. But here the problem is we need to create a "field" where the company names and the scores are linked. So that we can search something like - query = where the "company name" (a field) is "IBM" and the scores of IBM is > 0.5. So in that case the document 2 will be retrieved. I am wondering if anyone has ideas about using the company names and scores (linked) together as a field. Thanks in advance, --d
