Hi,
this example is really close to what I'm trying to do but unfortunately it
uses a lot of classes that are outdated in version 2.9.2 that I'm currently
using.
Actually, it uses text in which boosts follow terms (delimited by a special
char), parses the text and then adds documents to the index.
Hi,
if you want to store word+value pairs then use lucene scoring to weight
the words with higher vaules against them, you should look at using payloads
and the DelimitedPayloadTokenFilter which lets you specify e.g.
word1|value1 word2|value2 ...
and the values are stored as payloads against the w
Thanks for your reply Grant.
I checked out the TokenStream class and you are right but I'm afraid I
didn't really make myself understood. What I want is to be able to create a
Document out of key-value pairs of terms and float numbers representing word
weights, insert the Document in the index and
On May 31, 2010, at 6:25 AM, Dionisis Koumouras wrote:
> Hi all,
> I'm new to lucene but have used it succesfully for a few simple tasks.
>
> I am experimenting with the vector space representation of documents and
> have managed to store and retrieve TermFreqVector objects.
>
> The question is
