Getting started with basic opinion detection

Checkout the Quick Start Guide for a general overview of the technology.

Basic Opinions

Using Curl as an example you can get basic opinion detection using the following command. This assumes you have your text in a text file called some_file.txt.

cat some_file.txt | \
curl -F 'input=<-' "http://opener.olery.com/language-identifier" | \
curl -F 'input=<-' "http://opener.olery.com/tokenizer" | \
curl -F 'input=<-' "http://opener.olery.com/pos-tagger" | \
curl -F 'input=<-' "http://opener.olery.com/polarity-tagger" | \
curl -F 'input=<-' "http://opener.olery.com/opinion-detector-basic"

More detailed opinions

By using the full pipeline the opinion detection should become better. In this case you will need the NER and NED and their support endpoints. Like this:

cat some_file.txt | \
curl -F 'input=<-' "http://opener.olery.com/language-identifier" | \
curl -F 'input=<-' "http://opener.olery.com/tokenizer" | \
curl -F 'input=<-' "http://opener.olery.com/pos-tagger" | \
curl -F 'input=<-' "http://opener.olery.com/constituent-parser" | \
curl -F 'input=<-' "http://opener.olery.com/ner" | \
curl -F 'input=<-' "http://opener.olery.com/ned" | \
curl -F 'input=<-' "http://opener.olery.com/property-tagger" | \
curl -F 'input=<-' "http://opener.olery.com/polarity-tagger" | \
curl -F 'input=<-' "http://opener.olery.com/opinion-detector"