edu.stanford.nlp.sentiment

Class SentimentPipeline

java.lang.Object

edu.stanford.nlp.sentiment.SentimentPipeline

public class SentimentPipeline
extends Object

A wrapper class which creates a suitable pipeline for the sentiment model and processes raw text.
The main program has the following options:
-parserModel Which parser model to use, defaults to englishPCFG.ser.gz
-sentimentModel Which sentiment model to use, defaults to sentiment.ser.gz
-file Which file to process.
-stdin Read one line at a time from stdin.
-output pennTrees: Output trees with scores at each binarized node. vectors: Number tree nodes and print out the vectors. Defaults to printing just the root.

Author:

John Bauer

Constructor Summary

Constructors

Constructor and Description
SentimentPipeline()

Method Summary

Methods

Modifier and Type	Method and Description
static List<Annotation>	getAnnotations(StanfordCoreNLP tokenizer, edu.stanford.nlp.sentiment.SentimentPipeline.Input inputFormat, String filename, boolean filterUnknown) Reads an annotation from the given filename using the requested input.
static void	help()
static void	main(String[] args)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

SentimentPipeline

public SentimentPipeline()

Method Detail

help

public static void help()

getAnnotations

public static List<Annotation> getAnnotations(StanfordCoreNLP tokenizer,
                              edu.stanford.nlp.sentiment.SentimentPipeline.Input inputFormat,
                              String filename,
                              boolean filterUnknown)

Reads an annotation from the given filename using the requested input.

main

public static void main(String[] args)
                 throws IOException

Throws:

IOException