利用HashMap集合查询文章相同的单词和出现次数

public class Hashmap {
public static void main(String[] args) {

String str = "TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow also includes TensorBoard, a data visualization toolkit.TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research. The system is general enough to be applicable in a wide variety of other domains, as well.In just its first year, TensorFlow has helped researchers, engineers, artists, students, and many others make progress with everything from language translation to early detection of skin cancer and preventing blindness in diabetics. We're excited to see people using TensorFlow in over 6000 open-source repositories online.Today, as part of the first annual TensorFlow Developer Summit, hosted in Mountain View and livestreamed around the world, we're announcing TensorFlow 1.0:It's faster: TensorFlow 1.0 is incredibly fast! XLA lays the groundwork for even more performance improvements in the future, and tensorflow.org now includes tips & tricks for tuning your models to achieve maximum speed. We'll soon publish updated implementations of several popular models to show how to take full advantage of TensorFlow 1.0 - including a 7.3x speedup on 8 GPUs for Inception v3 and 58x speedup for distributed Inception v3 training on 64 GPUs!It's faster: TensorFlow 1.0 is incredibly fast! XLA lays the groundwork for even more performance improvements in the future, and tensorflow.org now includes tips & tricks for tuning your models to achieve maximum speed. We'll soon publish updated implementations of several popular models to show how to take full advantage of TensorFlow 1.0 - including a 7.3x speedup on 8 GPUs for Inception v3 and 58x speedup for distributed Inception v3 training on 64 GPUs!It's more flexible: TensorFlow 1.0 introduces a high-level API for TensorFlow, with tf.layers, tf.metrics, and tf.losses modules. We've also announced the inclusion of a new tf.keras module that provides full compatibility with Keras, another popular high-level neural networks library. It's more production-ready than ever: TensorFlow 1.0 promises Python API stability (details here), making it easier to pick up new features without worrying about breaking your existing code.";

Pattern p = Pattern.compile("\\b\\w+\\b");//regex
Matcher m = p.matcher(str);
Map str1 = new HashMap();
while(m.find()){

String mp=m.group();
Integer i =str1.get(mp);
if(i==null){
str1.put(mp,1);
}else{
i++;
str1.put(mp,i);
}
}
System.out.println();
Set se=str1.keySet();
for (String key : se) {
Integer value=str1.get(key);
System.out.println(key+"------"+value);
}
}