How can i find and use algorithms for Sentiments in free text model rules
i team i have few question in using sentiments in free text model rules
can we other open sources Sentiment algorithms in pega
if yes are there open sources algorithms i can use
please suggest some good working Sentiment models and articles will help
i am using below model jars i got from nlp sample application but it not much accurate
NLP!MLMODEL-351_ENGLISH-SENTIMENT-MAXENT!NLP!MLMODEL-350_ENGLISH-SENTIMENT-MAXENT!JAR
mlmodel-279_english-classification-maxent.jar
Thanks
IKOR
AU
There are 3 built in algorithms used MAXENT,NAIVEBIAS and SVM
I was working on some NLP related text analyzing so I created the sample entries text classification in an excel and input texts. In the modal file we can select the language and build the models with more entries if you think the model jars aren't giving the correct inputs. You will see the test results and the scores when you run the create modal wizard from the text analyzer rule. I didn't come across other ways of using open source algorithms except those 3 in Pega 7.3