StanfordCoreNLP includes the sentiment tool and various programs
which support it. The model can be used to analyze text as part of
StanfordCoreNLP by adding “sentiment” to the list of annotators.
There is also command line support and model training support.
SentimentAnnotator implements Socher et al’s sentiment model. Attaches a binarized tree of the sentence to the sentence level CoreMap. The nodes of the tree then contain the annotations from RNNCoreAnnotations indicating the predicted class and scores for that subtree.
||Annotator class name
- sentiment.model: which model to load. Will default to the model included in the models jar.
See the sentiment page for more information about this project.