Weka (Waikato Environment for Knowledge Analysis) is an open source machine learning library written in Java.
I am embarking upon a NLP project for sentiment analysis. I have successfully installed NLTK for python (seems like a …
nlp nltk weka classificationI have a Java project in Netbeans and I want to use some classes from Weka within my project. I …
java netbeans netbeans6.7 wekaIm trying to build a text classifier in JAVA with Weka. I have read some tutorials, and I´m trying …
java classification weka document-classificationI'm trying to test my model with new dataset. I have done the same preprocessing step as i have done …
machine-learning weka arffI'm trying to use weka API in my java code. I use J48 tree classification to Classify my dataset in …
java api classification wekaI am trying to plot my svm model. library(foreign) library(e1071) x <- read.arff("contact-lenses.arff") #alt: …
r weka svmI am running Max OS X 10.7 Lion and I want to use WEKA with LibSVM from command line. I get …
java macos wekaI am fairly new to Weka and even more new to Weka on the command line. I find documentation is …
machine-learning classification wekaWhen we evaluate a classifier in WEKA, for example a 2-class classifier, it gives us 3 f-measures: f-measure for class 1, for …
machine-learning weka evaluation