Using Stanford nlp's sentiment engine with python parser?

Question

I am working on a project where I am planning to use the Stanford's sentiment analysis model to do my sentiment analysis.

I have tried NLTK's stanford parser but couldn't get the sentiment analysis module in it. Can anyone point me to that module, and if possible give a working example. If not NLTK is there any other wrapper that I should be looking into.

Any answer with a working example will be great.

Possible duplicate of Stanford nlp for python

sds
– sds

2017-04-05 13:50:58 +00:00
Commented Apr 5, 2017 at 13:50 — sds
– sds, Commented Apr 5, 2017 at 13:50

Community · Accepted Answer · 2017-05-23 11:46:39Z

0

(from same question here )

I am facing the same problem : maybe a solution with stanford_corenlp_py that uses Py4j as pointed out by @roopalgarg.

stanford_corenlp_py

This repo provides a Python interface for calling the "sentiment" and "entitymentions" annotators of Stanford's CoreNLP Java package, current as of v. 3.5.1. It uses py4j to interact with the JVM; as such, in order to run a script like scripts/runGateway.py, you must first compile and run the Java classes creating the JVM gateway.

edited May 23, 2017 at 11:46

CommunityBot

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answered Jul 27, 2016 at 9:45

arnaud

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