Question

我有一个带标签和推文的文本文件。

    positive,I love this car
    negative,I hate this book
    positive,Good product.

我需要将每一行转换为向量值。如果我使用seq2sparse命令意味着整个文档转换为向量，但我需要将每一行转换为向量而不是整个文档。例如：关键：正值：vectorvalue（推文）我们怎样才能在mahout中实现这一目标？

/ *这就是我所做的* /

    StringTokenizer str= new StringTokenizer(line,",");
            String label=str.nextToken();
            while (str.hasMoreTokens())
            {
            tweetline =str.nextToken();
            System.out.println("Tweetline"+tweetline);
            StringTokenizer words = new StringTokenizer(tweetline," ");
            while(words.hasMoreTokens()){
            featureList.add(words.nextToken());}
            }
            Vector unclassifiedInstanceVector = new RandomAccessSparseVector(tweetline.split(" ").length);
 FeatureVectorEncoder vectorEncoder = new AdaptiveWordValueEncoder(label);
            vectorEncoder.setProbes(1);
            System.out.println("Feature List: "+featureList);
            for (Object feature: featureList) {
                vectorEncoder.addToVector((String) feature, unclassifiedInstanceVector);
            }
            context.write(new Text("/"+label), new VectorWritable(unclassifiedInstanceVector));

提前致谢

Answer 1

您可以使用SequenceFile.Writer

将其写入app hdfs路径

           FS = FileSystem.get(HBaseConfiguration.create());
           String newPath =   "/foo/mahouttest/part-r-00000";
           Path newPathFile = new Path(newPath);
           Text key = new Text();
           VectorWritable value = new VectorWritable();
           SequenceFile.Writer writer = SequenceFile.createWriter(FS, conf, newPathFile,
                key.getClass(), value.getClass());
                 .....
           key.set("c/"+label);
           value.set(unclassifiedInstanceVector );
           writer.append(key,value);

如何在mahout中矢量化文本文件？

1 个答案: