Purpose of this post is to show how StanfordNLP sentiment analysis can be called from F# application. Code used in this example provides sentiment value - from very negative to very positive - for all sentences of the specified text.
Prerequisites:
-Nuget Stanford.NLP.CoreNLP package needs to be installed (this code works with 3.4.0.0)-Java binaries should be downloaded from http://nlp.stanford.edu/software/stanford-corenlp-full-2014-06-16.zip and unzipped. After that you need to extract content of stanford-corenlp-3.4-
models.jar(it is part of the zip file)to some directory.
Source code:
F# code is elegant as usual :)To call this method you can use following code, where models location should be set to modelsDir variable:
Enjoy!
With public sentiment, nothing can fail. Without it, nothing can succeed.
ReplyDeleteSee the link below for more info.
#sentiment
www.ufgop.org
Hi, I was testing this and I observed that for each iteration with the same text time is getting increased by 3 to 4 seconds.
ReplyDeleteBelow is our code :
let analyzer = makeSentimentAnalyzer "ModelDirectoryPath"
let result =
[1..10]
|> List.map(fun x -> analyzer someText)
and output is :
iteration = 1 and its Time : 00:00:04.7943076
iteration = 2 and its Time : 00:00:07.8334975
iteration = 3 and its Time : 00:00:11.0907054
iteration = 4 and its Time : 00:00:14.3769231
iteration = 5 and its Time : 00:00:17.7311399
iteration = 6 and its Time : 00:00:20.9423484
iteration = 7 and its Time : 00:00:24.3025585
iteration = 8 and its Time : 00:00:27.5257557
iteration = 9 and its Time : 00:00:30.9089676
iteration = 10 and its Time : 00:00:34.1181736
Any suggestions ?
problem got resolved we were using older version now we are using 12 December library.
ReplyDeleteRegards,
ABB