Put the webserver

CAu_NLP_2019/pom.xml

@@ -35,6 +35,46 @@
                     <target>1.8</target>
                 </configuration>
             </plugin>
+
+            <plugin>
+                <artifactId>maven-assembly-plugin</artifactId>
+                <executions>
+                    <execution>
+                        <phase>package</phase>
+                        <goals>
+                            <goal>single</goal>
+                        </goals>
+                    </execution>
+                </executions>
+                <configuration>
+                    <archive>
+                        <manifest>
+                            <mainClass>com.nlp.App</mainClass>
+                        </manifest>
+                    </archive>
+                    <descriptorRefs>
+                        <descriptorRef>jar-with-dependencies</descriptorRef>
+                    </descriptorRefs>
+                </configuration>
+            </plugin>
+
+            <!-- Make this jar executable -->
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-jar-plugin</artifactId>
+                <configuration>
+                    <!-- DO NOT include log4j.properties file in your Jar -->
+                    <excludes>
+                        <exclude>**/log4j.properties</exclude>
+                    </excludes>
+                    <archive>
+                        <manifest>
+                            <!-- Jar file entry point -->
+                            <mainClass>com.nlp.App</mainClass>
+                        </manifest>
+                    </archive>
+                </configuration>
+            </plugin>
         </plugins>
     </build>
     <groupId>PQMAN</groupId>

CAu_NLP_2019/src/main/java/com/nlp/App.java

@@ -1,3 +1,5 @@
+package com.nlp;
+
 import com.google.gson.Gson;
 import org.jsoup.Jsoup;
 import org.jsoup.nodes.Document;
@@ -28,8 +30,6 @@ public class App {
         String[] url = {"https://www.thesun.co.uk/?s=", "https://www.bbc.co.uk/search?q=", "https://www.skysports.com/search?q="};
 
         List<List<String>> documents = new ArrayList<>();
-        List<List<String>> result = new ArrayList<>();
-        List<String> result2 = new ArrayList<>();
         String document;
         List<String> goodUrl = new ArrayList<>();
         Article data = new Article();

CAu_NLP_2019/src/main/java/com/nlp/Article.java

@@ -1,63 +1,65 @@
-import java.util.ArrayList;
-
-public class Article {
-
-    public Article() {
-        date = new ArrayList<Integer>();
-        Headline = new ArrayList<String>();
-        Url = new ArrayList<String>();
-        Site = new ArrayList<String>();
-        Content = new ArrayList<String>();
-    }
-
-    private ArrayList<Integer> date;
-    private ArrayList<String> Headline;
-    private ArrayList<String> Url;
-    private ArrayList<String> Site;
-    private ArrayList<String> Content;
-
-    public void setDate(int num) {
-        date.add(num);
-    }
-
-    public void setHeadline(String head) {
-        Headline.add(head);
-    }
-
-    public void setUrl(String url) {
-        Url.add(url);
-    }
-
-    public void setSite(String site) {
-        Site.add(site);
-    }
-
-    public void setContent(String content) {
-        Content.add(content);
-    }
-
-
-    public int getHowManyData() {
-        return Headline.size();
-    }
-
-    public int getDate(int num) {
-        return date.get(num);
-    }
-
-    public String getHeadline(int num) {
-        return Headline.get(num);
-    }
-
-    public String getUrl(int num) {
-        return Url.get(num);
-    }
-
-    public String getSite(int num) {
-        return Site.get(num);
-    }
-
-    public String getContent(int num) {
-        return Content.get(num);
-    }
+package com.nlp;
+
+import java.util.ArrayList;
+
+public class Article {
+
+    public Article() {
+        date = new ArrayList<Integer>();
+        Headline = new ArrayList<String>();
+        Url = new ArrayList<String>();
+        Site = new ArrayList<String>();
+        Content = new ArrayList<String>();
+    }
+
+    private ArrayList<Integer> date;
+    private ArrayList<String> Headline;
+    private ArrayList<String> Url;
+    private ArrayList<String> Site;
+    private ArrayList<String> Content;
+
+    public void setDate(int num) {
+        date.add(num);
+    }
+
+    public void setHeadline(String head) {
+        Headline.add(head);
+    }
+
+    public void setUrl(String url) {
+        Url.add(url);
+    }
+
+    public void setSite(String site) {
+        Site.add(site);
+    }
+
+    public void setContent(String content) {
+        Content.add(content);
+    }
+
+
+    public int getHowManyData() {
+        return Headline.size();
+    }
+
+    public int getDate(int num) {
+        return date.get(num);
+    }
+
+    public String getHeadline(int num) {
+        return Headline.get(num);
+    }
+
+    public String getUrl(int num) {
+        return Url.get(num);
+    }
+
+    public String getSite(int num) {
+        return Site.get(num);
+    }
+
+    public String getContent(int num) {
+        return Content.get(num);
+    }
 }

CAu_NLP_2019/src/main/java/com/nlp/Result.java

@@ -1,3 +1,5 @@
+package com.nlp;
+
 public class Result {
 
     private String tfidf;

CAu_NLP_2019/src/main/java/com/nlp/TFIDF.java

@@ -1,46 +1,48 @@
-import java.util.List;
-
-public class TFIDF {
-    /**
-     * @param doc  list of strings
-     * @param term String represents a term
-     * @return term frequency of term in document
-     */
-    public double tf(List<String> doc, String term) {
-        double result = 0;
-        for (String word : doc) {
-            if (term.equalsIgnoreCase(word))
-                result++;
-        }
-        return result / doc.size();
-    }
-
-    /**
-     * @param docs list of list of strings represents the dataset
-     * @param term String represents a term
-     * @return the inverse term frequency of term in documents
-     */
-    public double idf(List<List<String>> docs, String term) {
-        double n = 0;
-        for (List<String> doc : docs) {
-            for (String word : doc) {
-                if (term.equalsIgnoreCase(word)) {
-                    n++;
-                    break;
-                }
-            }
-        }
-        return Math.log(docs.size() / n);
-    }
-
-    /**
-     * @param doc  a text document
-     * @param docs all documents
-     * @param term term
-     * @return the TF-IDF of term
-     */
-    public double tfIdf(List<String> doc, List<List<String>> docs, String term) {
-        return tf(doc, term) * idf(docs, term);
-
-    }
-}
+package com.nlp;
+
+import java.util.List;
+
+public class TFIDF {
+    /**
+     * @param doc  list of strings
+     * @param term String represents a term
+     * @return term frequency of term in document
+     */
+    public double tf(List<String> doc, String term) {
+        double result = 0;
+        for (String word : doc) {
+            if (term.equalsIgnoreCase(word))
+                result++;
+        }
+        return result / doc.size();
+    }
+
+    /**
+     * @param docs list of list of strings represents the dataset
+     * @param term String represents a term
+     * @return the inverse term frequency of term in documents
+     */
+    public double idf(List<List<String>> docs, String term) {
+        double n = 0;
+        for (List<String> doc : docs) {
+            for (String word : doc) {
+                if (term.equalsIgnoreCase(word)) {
+                    n++;
+                    break;
+                }
+            }
+        }
+        return Math.log(docs.size() / n);
+    }
+
+    /**
+     * @param doc  a text document
+     * @param docs all documents
+     * @param term term
+     * @return the TF-IDF of term
+     */
+    public double tfIdf(List<String> doc, List<List<String>> docs, String term) {
+        return tf(doc, term) * idf(docs, term);
+
+    }
+}