OK, I think I understand what's going on - it looks like I am able to set
the token for the full author name (Say, "Steve Suppe") with the correct
offsets, but the analyzer takes it once step further and tokenizes 'Steve'
and 'Suppe' which is giving me a lot more generated offsets and is
confusing me.
I like the tokenization, as it allows me to just search for Suppe and get
results. However, I don't want those "sub-offsets" returned. Is there a
way to distinguish the 'main' offsets for the whole field?
Thanks again,
Steve
At 10:38 AM 3/7/2008, you wrote:
Hi all,
I'm trying to index documents so that a) I have all the documents indexed
'normally' (in that I can search for documents that match certain words,
and b) parts of the document that I consider important, such as author and
title are ALSO stored in their own indexed fields.
I have (a) working fine, and (b) is almost working - however, I'm trying
to force the separate field to have the original offsets of where it
existed in the text. As in, if the title was at characters 76-200 in the
original text, I'd like the field to have that as its information, so when
I look at the field I can find the place in the document quickly.
I don't seem to be able to do this - I have my own analyzer that finds the
tokens and sets the start and end offsets accordingly. However, when I
create the new field and write it to the index, it seems like these
offsets are ignored? When I pull offsets out later, they start at 0 and
move up from there.
I am creating the field like:
CASAnnotationAnalyzer psa = new CASAnnotationAnalyzer();
analyzer.addAnalyzer(info.indexName, psa);
TokenStream ts = psa.tokenStream(info.indexName,
new StringReader(info.value));
Field stemF = new Field(info.indexName, ts,
Field.TermVector.WITH_POSITIONS_OFFSETS);
d.add(stemF);
(d is the document being indexed).
I have tried various permutations of creating the field and token stream -
does anyone have any insights, please?
Thanks in advance,
Steve
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