Classifiying text data using SVM
Hello,
I have a process chain which takes in documents from files and does some preprocessing on them. This is given as input to the validator which has a modelling operator. I am not able to use SVM here. Could you please tell me how can I use SVM here?
I am attaching my process XML here.
<参数键= " invert_filter " value = " true " / >
<连接过滤器Stopwords from_op = "(Dictionary)" from_port="document" to_op="Remove Document Parts" to_port="document"/>
<连接过滤器Stopwords from_op = "(2)" from_port="document" to_op="Filter Tokens (3)" to_port="document"/>
I have a process chain which takes in documents from files and does some preprocessing on them. This is given as input to the validator which has a modelling operator. I am not able to use SVM here. Could you please tell me how can I use SVM here?
I am attaching my process XML here.
<参数键= " invert_filter " value = " true " / >
<连接过滤器Stopwords from_op = "(Dictionary)" from_port="document" to_op="Remove Document Parts" to_port="document"/>
<连接过滤器Stopwords from_op = "(2)" from_port="document" to_op="Filter Tokens (3)" to_port="document"/>
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