Hello Burcu,
UIMA has an entirely different purpose actually, and doesn't do
classification or clustering. You would rather use UIMA to enrich
documents (individually) through text analysis and then use the result
to create better feature vectors to use with Solr, Mahout, etc.
We typically
Hi,
Thank you, Jens. I was planning to use OpenNLP for named entity
recognition directly for the analysis you''ve mentioned; and Lucene for
tokenization. However, UIMA has OpenNLP component, too. What is the reason
to use UIMA instead of uisng OpenNLP and SOLR together?
I am planning to use
Hi,
the advantage of using UIMA over plain OpenNLP is that it can allow you
to more easily combine components from different sources, e.g. a
tokenizer and POS tagger from OpenNLP, a parser from Stanford, etc.
You then have components for input that deal with the different sources
Hi,
I'd like to know why someone should prefer UIMA when developing an
application for end users to classify and cluster general purpose
documents?
I have two options:
1- integrating Mahout, SOLR, R ,Hadoop and other file sources such as
document man. systems or file system.
2- or doing
