Hi
I am sorry but I didn't understand your answer. Can you please elaborate?
Shay
On Sun, Dec 13, 2015 at 3:41 PM will martin wrote:
> expand your due diligence beyond wikipedia:
> i.e.
>
> http://ciir.cs.umass.edu/pubfiles/ir-464.pdf
>
>
>
> > On Dec 13, 2015
proach - specifically the LMDiriclet.
The similarity will be calculated using the JS-Div between the document
model and the query model.
Is it possible?
if so how?
Thank you,
Shay Hummel
--
Regards,
Shay Hummel
freq, float docLen){
> return freq;
> }
>
> When you use this similarity, search for three term query, scores will
> summed tf values. Also you can extract additional info from explain feature.
>
> Ahmet
>
>
>
>
> On Monday, June 15, 2015 5:50 PM, Shay Hummel
>
,
> field, term.bytes());
>
> if (postingsEnum == null) return;
>
> int max = 0;
> while (postingsEnum.nextDoc() != PostingsEnum.NO_MORE_DOCS) {
> final int freq = postingsEnum.freq();
> int docID = postingsEnum.docID();}
>
>
> Ahmet
>
>
>
>
> On Monday, J
Hi
I was wondering, what is the easiest way to get the term frequency of a
term t in document d, namely tf(t,d) ?
In the same spirit - what is the easieast way the get the document
frequency of a term in the collection, i.e. how many contain the term t,
namely df(t) ?
Regards,
Shay
ence detection outside of the Lucene.
>> >
>> > By the way, I remember there was a way to consume all upstream token
>> stream.
>> >
>> > I think it was consuming all input and injecting one concatenated huge
>> term/token.
>> >
>> > Ke
of the solr, using opennlp for
> instance, and then feed them to solr.
>
> https://opennlp.apache.org/documentation/1.5.2-incubating/manual/opennlp.html#tools.sentdetect
>
> Ahmet
>
>
>
>
> On Tuesday, April 14, 2015 8:12 PM, Shay Hummel
> wrote:
> Hi
> I
Doc2: I read the book the Hobbit during the flight to London. (book is a
noun, flight is a noun)
when I searched "book flight" with (verb and noun as payload respectively)
it worked for the correct window (depends If i removed stopwords or
not) properly.
So what did you mean with this note?
Thank you,
Shay Hummel
english analyzer
(createComponent). However, this is not dependent of the text it receives -
which is the first part of what I am trying to do.
So ... How can it be achieved?
Thank you,
Shay Hummel
