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文档间相似性（余弦相似度）(Inter document similarity(cosine similarity))

java

 我正在尝试编写一个程序来查找文件的2个文件之间的相似性。 出于这个原因，我正在关注此链接和发布  
 但是，出现了一个错误  
"list object is not callable"
 
 在  
test(tf_idf_matrix,count,nltkutil.cosine_distance)
 
 线。  
 我使用一个文件作为列车集和其他文件作为测试集，我的目标是使用test()使用tf-idf输出2个文档之间的余弦相似度。  
 我的代码如下：  
def test(tdMatrix,count,fsim):

    sims=[] 
    sims = np.zeros((len(tdMatrix), count))

    for i in range(len(tdMatrix)):
        for j in range(count):
                doc1 = np.asarray(tdMatrix[tdMatrix[i], :].todense()).reshape(-1)
                doc2 = np.asarray(tdMatrix[tdMatrix[j], :].todense()).reshape(-1)

                sims[i, j] = fsim(doc1, doc2)

            print sims

def main():

    file_set=["corpusA.txt","corpusB.txt"]
    train=[]
    test=[]

    for file1 in file_set:
        s="x"+file1
        preprocess(file1,s)

    count_vectorizer = CountVectorizer()
    m=open("xcorpusA.txt",'r')
    for i in m:
        train.append(i.strip())
    #print doc
    count_vectorizer.fit_transform(train)


    m1=open("xcorpusB.txt",'r')
    for i in m1:
        test.append(i.strip())

    freq_term_matrix = count_vectorizer.transform(test)
    #print freq_term_matrix.todense()

    tfidf = TfidfTransformer(norm="l2")
    tfidf.fit(freq_term_matrix)

    #print "IDF:", tfidf.idf_

    tf_idf_matrix = tfidf.transform(freq_term_matrix)
    print (tf_idf_matrix.toarray())

    count=0

    for i in tf_idf_matrix.toarray():
        for j in i:
            count+=1    
        break

    print "Results with Cosine Distance Similarity Measure"
    test(tf_idf_matrix,count,nltkutil.cosine_distance)


if __name__ == "__main__":
    main()

I am trying to write a program to find the similarity between 2 files of document. For this reason, I am following this link and a posting from 
But, an error is shown up which says  
"list object is not callable"
 
at  
test(tf_idf_matrix,count,nltkutil.cosine_distance)
 
line.  
I am using one file as train set and other file as test set and my objective is to use the test() to output the cosine similarity between 2 documents using tf-idf. 
My code is following: 
def test(tdMatrix,count,fsim):

    sims=[] 
    sims = np.zeros((len(tdMatrix), count))

    for i in range(len(tdMatrix)):
        for j in range(count):
                doc1 = np.asarray(tdMatrix[tdMatrix[i], :].todense()).reshape(-1)
                doc2 = np.asarray(tdMatrix[tdMatrix[j], :].todense()).reshape(-1)

                sims[i, j] = fsim(doc1, doc2)

            print sims

def main():

    file_set=["corpusA.txt","corpusB.txt"]
    train=[]
    test=[]

    for file1 in file_set:
        s="x"+file1
        preprocess(file1,s)

    count_vectorizer = CountVectorizer()
    m=open("xcorpusA.txt",'r')
    for i in m:
        train.append(i.strip())
    #print doc
    count_vectorizer.fit_transform(train)


    m1=open("xcorpusB.txt",'r')
    for i in m1:
        test.append(i.strip())

    freq_term_matrix = count_vectorizer.transform(test)
    #print freq_term_matrix.todense()

    tfidf = TfidfTransformer(norm="l2")
    tfidf.fit(freq_term_matrix)

    #print "IDF:", tfidf.idf_

    tf_idf_matrix = tfidf.transform(freq_term_matrix)
    print (tf_idf_matrix.toarray())

    count=0

    for i in tf_idf_matrix.toarray():
        for j in i:
            count+=1    
        break

    print "Results with Cosine Distance Similarity Measure"
    test(tf_idf_matrix,count,nltkutil.cosine_distance)


if __name__ == "__main__":
    main()

原文：https://stackoverflow.com/questions/21504793

更新时间：2022-04-30 13:04

最满意答案

 创建一个具有两个容器的分割面板。 一个容器（A）用于动态按钮，另一个容器用于按钮“添加新”。 将新组件添加到A容器中。  
 找到下面的代码，根据您的情况说明这个概念。 使用风险自负 :)  
import javax.swing.*;
import java.awt.*;
import java.awt.event.*;

public class Display 
    extends JFrame
{ 
    Box upperBox   = new Box(BoxLayout.X_AXIS);
    Box dynamicBox = new Box(BoxLayout.Y_AXIS);
    Box staticBox  = new Box(BoxLayout.X_AXIS);

    public Display()
    {
        super("Test");
        setTitle("Test");
        setSize(800,800);
        setResizable(false);

        setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
        initComponents();
    }

    private void initComponents()
    {
        //This will be the parent panel for other panels.
        JPanel panel = new JPanel();
        panel.setLayout(new BoxLayout(panel, BoxLayout.Y_AXIS));

        upperBox.add(new JLabel("Resource"));
        upperBox.add(new JComboBox<>(new String[] { "option1", "option2", "option3",}));
        upperBox.add(new JLabel("Something"));

        panel.add(upperBox);

        staticBox.add(new JButton(new AddResourceAction("Add new")));

        panel.add(dynamicBox); //just add this box now, it will be filled later with components
        panel.add(staticBox);  

        add(panel); 
    }

    class AddResourceAction extends AbstractAction 
    {
        public AddResourceAction(String n)
        {
            super(n);
        }

        @Override
        public void actionPerformed(ActionEvent e) {

            Box box = new Box(BoxLayout.X_AXIS);
            box.add(new JLabel("Resource"));
            box.add(new JComboBox<>(
                        new String[] { "option1", "option2", "option3",}));
            box.add(new JLabel("Something"));

            dynamicBox.add(box);

            revalidate(); 
        }
    }

    public static void main(String[] args) 
    {
        /*display panel*/
        SwingUtilities.invokeLater(new Runnable()
        {
            @Override 
            public void run() 
            {
                new Display().setVisible(true);
            }
        });
    }
}

Create a divided panel, that has two containers. One container (A) for dynamic buttons and another container for the button "Add new". Add new components to the A container. 
Find code below that illustrates this concept with your situation. use at your own risk :) 
import javax.swing.*;
import java.awt.*;
import java.awt.event.*;

public class Display 
    extends JFrame
{ 
    Box upperBox   = new Box(BoxLayout.X_AXIS);
    Box dynamicBox = new Box(BoxLayout.Y_AXIS);
    Box staticBox  = new Box(BoxLayout.X_AXIS);

    public Display()
    {
        super("Test");
        setTitle("Test");
        setSize(800,800);
        setResizable(false);

        setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
        initComponents();
    }

    private void initComponents()
    {
        //This will be the parent panel for other panels.
        JPanel panel = new JPanel();
        panel.setLayout(new BoxLayout(panel, BoxLayout.Y_AXIS));

        upperBox.add(new JLabel("Resource"));
        upperBox.add(new JComboBox<>(new String[] { "option1", "option2", "option3",}));
        upperBox.add(new JLabel("Something"));

        panel.add(upperBox);

        staticBox.add(new JButton(new AddResourceAction("Add new")));

        panel.add(dynamicBox); //just add this box now, it will be filled later with components
        panel.add(staticBox);  

        add(panel); 
    }

    class AddResourceAction extends AbstractAction 
    {
        public AddResourceAction(String n)
        {
            super(n);
        }

        @Override
        public void actionPerformed(ActionEvent e) {

            Box box = new Box(BoxLayout.X_AXIS);
            box.add(new JLabel("Resource"));
            box.add(new JComboBox<>(
                        new String[] { "option1", "option2", "option3",}));
            box.add(new JLabel("Something"));

            dynamicBox.add(box);

            revalidate(); 
        }
    }

    public static void main(String[] args) 
    {
        /*display panel*/
        SwingUtilities.invokeLater(new Runnable()
        {
            @Override 
            public void run() 
            {
                new Display().setVisible(true);
            }
        });
    }
}

文档间相似性（余弦相似度）(Inter document similarity(cosine similarity))

最满意答案

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