mjhjmtu

I am using Java Weka-api to build classification model. I can use builtin stopwords filter however, i need to use custom filter for my problem. I do not how to use custom stopwords filter in java wake-api. Thanks in advance for your support.

You could add your source codes with question for better understanding. Anyway you try the following code.

import weka.core.converters.ConverterUtils.DataSource;
import weka.filters.unsupervised.attribute.StringToWordVector;
import weka.core.Instances;


Instances data = DataSource.read(".../document.txt"); //Your document .
filter.setInputFormat(data);
StringToWordVector filter = new StringToWordVector();
filter.setStopwords(new File(".../stopwords.txt")); //stop words file.
Instances data = Filter.useFilter(data,filter); 

You can also read the following document for better understanding weka-api for Java.
http://weka.sourceforge.net/doc.stable/

First of all you have to prepare a text file for your custom stopwords. Then you can use the following code:

import weka.filters.unsupervised.attribute.StringToWordVector;

StringToWordVector filter = new StringToWordVector(10000);
filter.setStopwords(new File(".../stopwords.txt"));

Hope it will help you.