文本分解 (Tokenizer)

Java 类名：com.alibaba.alink.pipeline.nlp.Tokenizer
Python 类名：Tokenizer

功能介绍

对文本按空白符进行切分操作。

使用方式

文本列通过参数 selectedCol 指定，输出列通过 outputCol 指定。

参数说明

代码示例

Python 代码

df = pd.DataFrame([
    [0, 'That is an English Book!'],
    [1, 'Do you like math?'],
    [2, 'Have a good day!']
])
inOp1 = BatchOperator.fromDataframe(df, schemaStr='id long, text string')
op = Tokenizer().setSelectedCol("text")
op.transform(inOp1).print()

Java 代码

import org.apache.flink.types.Row;
import com.alibaba.alink.operator.batch.BatchOperator;
import com.alibaba.alink.operator.batch.source.MemSourceBatchOp;
import com.alibaba.alink.pipeline.nlp.Tokenizer;
import org.junit.Test;
import java.util.Arrays;
import java.util.List;
public class TokenizerTest {
    @Test
    public void testTokenizer() throws Exception {
        List <Row> df = Arrays.asList(
            Row.of(0, "That is an English Book!"),
            Row.of(1, "Do you like math?"),
            Row.of(2, "Have a good day!")
        );
        BatchOperator <?> inOp1 = new MemSourceBatchOp(df, "id int, text string");
        Tokenizer op = new Tokenizer().setSelectedCol("text");
        op.transform(inOp1).print();
    }
}

运行结果