// Calculating term frequency
System.out.println("Please enter the required word :");
Scanner scan = new Scanner(System.in);
String word = scan.nextLine();
String[] array = word.split(" ");
int filename = 11;
String[] fileName = new String[filename];
int a = 0;
int totalCount = 0;
int wordCount = 0;
for (a = 0; a < filename; a++) {
try {
System.out.println("The word inputted is " + word);
File file = new File(
"C:\\Users\\user\\fypworkspace\\TextRenderer\\abc" + a
+ ".txt");
System.out.println(" _________________");
System.out.print("| File = abc" + a + ".txt | \t\t \n");
for (int i = 0; i < array.length; i++) {
totalCount = 0;
wordCount = 0;
Scanner s = new Scanner(file);
{
while (s.hasNext()) {
totalCount++;
if (s.next().equals(array[i]))
wordCount++;
}
System.out.print(array[i] + " ---> Word count = "
+ "\t\t " + "|" + wordCount + "|");
System.out.print(" Total count = " + "\t\t " + "|"
+ totalCount + "|");
System.out.printf(" Term Frequency = | %8.4f |",
(double) wordCount / totalCount);
System.out.println("\t ");
}
}
} catch (FileNotFoundException e) {
System.out.println("File is not found");
}
}
System.out.println("Please enter the required word :");
Scanner scan2 = new Scanner(System.in);
String word2 = scan2.nextLine();
String[] array2 = word2.split(" ");
int numofDoc;
for (int b = 0; b < array2.length; b++) {
numofDoc = 0;
for (int i = 0; i < filename; i++) {
try {
BufferedReader in = new BufferedReader(new FileReader(
"C:\\Users\\user\\fypworkspace\\TextRenderer\\abc"
+ i + ".txt"));
int matchedWord = 0;
Scanner s2 = new Scanner(in);
{
while (s2.hasNext()) {
if (s2.next().equals(array2[b]))
matchedWord++;
}
}
if (matchedWord > 0)
numofDoc++;
} catch (IOException e) {
System.out.println("File not found.");
}
}
System.out.println(array2[b]
+ " --> This number of files that contain the term "
+ numofDoc);
double inverseTF = Math.log10((float) numDoc / numofDoc);
System.out.println(array2[b] + " --> IDF " + inverseTF );
double TFIDF = (((double) wordCount / totalCount) * inverseTF );
System.out.println(array2[b] + " --> TFIDF " + TFIDF);
}
}
嗨,这是我计算术语频率和TF-IDF的代码。第一个代码计算给定字符串的每个文件的术语频率。第二个代码应该使用上面的值计算每个文件的TF-IDF。但我只收到一个价值。它应该为每个文档提供TF-IDF值。
术语频率的示例输出:
输入字是'是'
| File = abc0.txt |
是---&gt;字数= | 2 |总计数= | 150 |期限频率= | 0.0133 |
输入的单词是'is'
| File = abc1.txt |
是---&gt;字数= | 0 |总计数= | 9 |期限频率= | 0.0000 |
TF-IDF
是 - &gt;包含术语7
的文件数是 - &gt; IDF 0.1962946357308887
是 - &gt; TFIDF 0.0028607962606519654&lt;&lt;&lt;我想每个文件得到一个值,意味着我有10个文件,它假设为每个不同的文件给我10个不同的值。但是,它只打印一个结果。有人能指出我的错误吗?
答案 0 :(得分:1)
您认为每个文件重复的println语句是
double TFIDF = (((double) wordCount / totalCount) * inverseTF );
System.out.println(array2[b] + " --> TFIDF " + TFIDF);
但它包含在单循环中
for (int b = 0; b < array2.length; b++)
只。如果要在每个文件中打印此行,则必须通过所有文件的另一个循环来包围此语句。
由于这是作业,我不会包含最终代码,但会给你另一个提示:你还在计算TFIDF时包含变量wordCount和totalCount。但这些对于每个文件名/单词对都是唯一的。因此,您需要不仅保存一次,而是按文件名/单词保存,或者在最终循环中再次重新保存它们。
答案 1 :(得分:0)
打印TF IDF的部分需要在遍历所有文件的for循环内移动。
即:
System.out.println(array2[b]
+ " --> This number of files that contain the term "
+ numofDoc);
double inverseTF = Math.log10((float) numDoc / numofDoc);
System.out.println(array2[b] + " --> IDF " + inverseTF );
double TFIDF = (((double) wordCount / totalCount) * inverseTF );
System.out.println(array2[b] + " --> TFIDF " + TFIDF);
}
} }