Sounds right to me.
The other option I think you have is to not use the MoreLikeThis
stopword functionality. Instead add the stopwords to the analyzer that
you pass to MoreLikeThis. That way you can ensure that the analyzer
applies the stopword list before stemming (The MoreLikeThis stopword
removal is implemented so that stopwords are removed after stemming).
Then you just have to add 'developer' to the stop list, and you can
forget about handling stemmed forms.
Your method should also work though.
- Mark
Donna L Gresh wrote:
Could those "in the know" comment on my current understanding of stemming
and stopwords using the snowball analyzer?
In my application, I am using the MoreLikeThis class to find similar
documents to an input "text blob". There are words in the input text blob
which are "uninteresting" for my application, so I create a list of these
words. These words are "uninteresting" no matter what their tense or
usage, for example, "develop", "developing", "developed", and "developer"
are all uninteresting and I do not want them included in the search query
created by the MoreLikeThis class.
My index documents are stemmed using the Snowball analyzer. I do not use
any stopwords when the documents are indexed (as I would like the choice
of stopwords to be under user control at search time).
I would like the user to be able to provide to the search application a
list of "uninteresting" words, and for obvious reasons would like to force
them to provide only, say, "developer" and have the application understand
that all variants should be ignored (and I don't want to force them to try
to guess what the stemmed version of "developer" is).
My first try was to use MoreLikeThis with the Snowball analyzer and a
simple list of unstemmed stopwords (MoreLikeThis.setAnalyzer and
MoreLikeThis.setStopWords). However, it appears that the stopwords
provided to the MoreLikeThis class are compared in an exact way to the
token stream output by the Snowball filter (where the words have been
stemmed), so "developer" will not match anything, and all variants pass
through. Even if I provide the list of unstemmed stopwords to the snowball
analyzer instead, they are used "as-is" with no stemming performed, so
"developer" will not remove "developed".
Apparently the following is necessary for my application:
Construct a snowball analyzer with no stopwords. Use the unstemmed
stopword list with the analyzer to construct a stemmed version of the set
of stopwords. Use this set of stemmed stopwords as the stopwords input to
the MoreLikeThis class (where the tokens are compared to the stemmed
versions after been output from the Snowball analyzer).
Is my understanding correct?
Donna
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