Richard
Richard

Reputation: 13

How to integrate the GATE Twitter PoS model with Stanford NLP?

I'm currently using Stanford NLP library for sentiment analysis of a twitter stream (version 3.3.0 but that’s not set.)

I was looking for ways to increase the accuracy when I came across this https://gate.ac.uk/wiki/twitter-postagger.html

I'm relatively new to sentiment analysis but am I right in saying that if I choose this model instead of the default model (which is based off film reviews) I would get an increased accuracy rating ?

If so, how does one go about integrating it with the Stanford NPL library ?

If I am missing any required information here please tell me !

Regards.

Upvotes: 1

Views: 393

Answers (2)

Chester Mc Allister
Chester Mc Allister

Reputation: 437

You can also have a look at the TwitIE pipeline: https://gate.ac.uk/wiki/twitie.html

This may probably enhance your tweet NER analysis and by the way your sentiment analysis.

Upvotes: 0

user123
user123

Reputation: 5407

You can use GATE twitter pos model with stanford package

./corenlp.sh -file tweets.txt -pos.model gate-EN-twitter.model -ssplit.newlineIsSentenceBreak always

use v3.3.1 for GATE

Upvotes: 1

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