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In terms of shallow natural language processing, some pretty simple observations can lead to a lot of bang for the buck. One project I completed was able to re
by xigency 11y ago
In terms of shallow natural language processing, some pretty simple observations can lead to a lot of bang for the buck.
One project I completed was able to really excel at keyword matching simply by building a huge dictionary of words, in a literal sense: a dictionary of contextually relevant words to a phrase, generated by very large texts.
I think baby steps are the key to getting further with NLP. For reference: http://nlp.stanford.edu/fsnlp/ http://nlp.stanford.edu/fsnlp/
- donpdonp 11y agoA quick idea of what the Stanford NLP parser is capable of can be gained by trying a few things in their online gateway. Its impressive. http://nlp.stanford.edu:8080/parser/ http://nlp.stanford.edu:8080/parser/
- charlieegan3 11y agoI'd reccommend also checking out: http://corenlp.run/ http://corenlp.run/. It's a running version of the corenlp server. I'm making use of this, just have it running in a container and get parses via the API (which is good but a little odd to use).