The transcripts were analyzed by computer using automated
natural language processing methods to determine differences in speech between those who developed psychosis and those who did not.
Not exact matches
This fact puts all unsupervised
methods based on ontological dictionaries or statistical
methods based on
natural language processing (NLP) models under stress when it comes to accurately capturing sentiment.
The PNAS paper used a suite of
methods (such as the Stanford CoreNLP
natural language processing toolkit and SUTime, a rule - based temporal tagger built on regular expression patterns) to automatically analyze Twitter text trails previously left by individual subjects.