Reputation: 13
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
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
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