Hi,
No, + and "and" doesn't works similar. Even "and" and "AND" would have a
different behavior (is configurable) in edismax.
When you put a + before a term, you specify that it's mandatory. Hence,
"+google +india" will get you the same resu
Hi,
I uncommented the html tags in admin-extra.menu-top and
admin-extra.menu-bottom. It works fine when I select the core from the
dropdown but once I click on any other tab like Replication, Dataimport
etc, it disappears.
I tried it in Solr 4.6.1 and Solr 5.0.0 and the behavior is same.
I could
You can create core as follows:
solr create -c "corename" -d sample_techproducts_configs
This will create a core with full features of Solr. You can refer to
examples there and modify it as per your need.
- Dikshant
On Tue, Mar 17, 2015 at 9:38 PM, itzikgili wrote:
>
> I'm trying to implement
Hi,
Can you please provide me the privilege to edit Wiki pages.
My Wiki username is Dikshant.
Thanks,
Dikshant
Thanks Erick! This is good for now.
On Thu, Jul 16, 2015 at 9:54 AM, Erick Erickson
wrote:
> I added you to the Solr Wiki, if you need Lucene Wiki access let us know.
>
> Erick
>
> On Wed, Jul 15, 2015 at 7:59 PM, Dikshant Shahi
> wrote:
> > Hi,
> >
> > Can
Configure a fieldType in schema.xml as below:
..
..
**
Thanks,
Dikshant
On Mon, Oct 27, 2014 at 6:26 PM, O. Klein wrote:
> Is there a way in Solr to filter out stopwords in shingles like ES does?
>
> http://www.elasticsearch.org/blog/searching-w
Why have you created ngram of size 3? Do you want match also in case of
spell-mistakes?
If you want 2 consecutive tokens to match, you can create shingles. Please
refer to link
https://cwiki.apache.org/confluence/display/solr/Filter+Descriptions#FilterDescriptions-ShingleFilter
Thanks,
Dikshant
O
Conceptually, your understanding is correct about VSM & cosine similarity.
In text analysis, the range is 0 to 1 as there is no negative similarity.
The scores for handler which internally use Lucene's cosine similarity can
also go beyond 1. The reason being these scores are computed for each fiel
Hello Wunder,
If you are particular about Java Stanford and Weka both are good choices.
OpenNLP also has a document classifier.
You can even explore beyond Java, I mean Python, and consume the intent as
a REST service.
Regards,
Dikshant
On Tue 3 Apr, 2018, 4:48 AM Walter Underwood, wrote:
> W