samedi 27 juin 2015

Time taken By Stanford CoreNLP API to run Sentiment Analysis

I am working on sentiment analysis in Map Reduce (Java) using the Stanford Core NLP API. I have integrated them successfully and have noticed in the console that it specifically works on all the input lines. It takes a lot of time in my machine( 3GB RAM). So will it same same proportion of time in other powerful machines or there is a solution for reducing the time ?

Anybody having idea of this running time in other machines can share their experience.

Will anybody suggest anything about Amazon Web Services( AWS ) for this?




1 commentaire:

  1. I am also trying to run corenlp on aws. Have you fixed your problem? Which Machine suits for this purpose? Can you help on this topic?

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