java hanlp 情感分析实现_java hanlp 情绪分析

1，java 训练model

//数据取自mysql
 public void TrainHanlpModel(Map<String, String[]> map) throws IOException {
        IClassifier classifier = new NaiveBayesClassifier();
        classifier.train(map);
        NaiveBayesModel model = (NaiveBayesModel) classifier.getModel();
        IOUtil.saveObjectTo(model, path);
    }
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获取path

 public static IClassifier classifier;

    {
        path=getInputPath()+"\\emtionModel.ser";
    }
private String getInputPath() {
        File path = null;
        try {
            path = new File(ResourceUtils.getURL("classpath:").getPath());
        } catch (FileNotFoundException e) {
            e.printStackTrace();
        }
        if (!path.exists()) path = new File("");
        File input = new File(path.getAbsolutePath(), "model/");
        if (!input.exists()) input.mkdirs();
        return input.getAbsolutePath();
    }
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2，调用训练以后的model

// 这里没使用啥注入, 纯粹写写demo测试使用。。
 public  String hello(String txt) throws SQLException {
        // 读取model
         ConnectionMysql connectionMysql = new ConnectionMysql();
        connectionMysql.Connection();
        //String ret=  connectionMysql.GetModelStr();
        String ret="";
        GetHanlpTest glt = new GetHanlpTest();
        if(ret!=null||ret.length()>0)
        {
            IClassifier classifier =glt.GetIClassifier(glt.GetNaiveBayesModelByStr());
            ret= classifier.classify(txt);
        }
        return ret;
    }
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获取mode 方法

IOUtil这个包为hanlp自带。

public NaiveBayesModel GetNaiveBayesModelByStr()
    {
        NaiveBayesModel model= new NaiveBayesModel();
        model=(NaiveBayesModel)IOUtil.readObjectFrom(path);
        return model;
    }
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