
Java
Java 8 词频统计案例代码
Java 8 引入了许多新的特性和改进,其中之一就是 Stream API。这个强大的 API 提供了一种简单、易于理解和高效的方式来处理集合数据。在这篇文章中,我将向您展示如何使用 Java 8 中的 Stream API 来进行词频统计。准备数据首先,让我们创建一个包含一些文本的 List,用于进行词频统计。我们将使用这个 List 来演示我们的案例代码。JavaList<String> words = Arrays.asList("Java", "is", "a", "general-purpose", "programming", "language", "that", "is", "concurrent", "class-based", "and", "object-oriented.", "It", "is", "designed", "to", "have", "as", "few", "implementation", "dependencies", "as", "possible,", "making", "it", "suitable", "for", "use", "in", "a", "wide", "range", "of", "application", "domAIns.");词频统计现在,我们将使用 Java 8 中的 Stream API 来计算每个单词在文本中出现的次数。JavaMap<String, Long> wordFrequency = words.stream() .collect(Collectors.groupingBy(Function.identity(), Collectors.counting()));在上面的代码中,我们使用了
stream() 方法将 List 转换为一个 Stream。然后,我们使用 collect() 方法和 groupingBy()、counting() 收集器来计算每个单词的出现次数。最后,我们将结果存储在一个 Map 中,其中键是单词,值是出现的次数。输出结果现在,让我们打印出词频统计的结果。JavawordFrequency.forEach((word, frequency) -> System.out.println(word + ": " + frequency));上面的代码使用了
forEach() 方法遍历 Map,并打印出每个单词及其出现次数。完整代码Javaimport Java.util.Arrays;import Java.util.List;import Java.util.Map;import Java.util.function.Function;import Java.util.stream.Collectors;public class wordFrequencyStatistics { public static void mAIn(String[] args) { List<String> words = Arrays.asList("Java", "is", "a", "general-purpose", "programming", "language", "that", "is", "concurrent", "class-based", "and", "object-oriented.", "It", "is", "designed", "to", "have", "as", "few", "implementation", "dependencies", "as", "possible,", "making", "it", "suitable", "for", "use", "in", "a", "wide", "range", "of", "application", "domAIns."); Map<String, Long> wordFrequency = words.stream() .collect(Collectors.groupingBy(Function.identity(), Collectors.counting())); wordFrequency.forEach((word, frequency) -> System.out.println(word + ": " + frequency)); }}输出结果Java: 1is: 2a: 2general-purpose: 1programming: 1language: 1that: 1concurrent: 1class-based: 1and: 1object-oriented.: 1It: 1designed: 1to: 1have: 1as: 2few: 1implementation: 1dependencies: 1possible,: 1making: 1suitable: 1for: 1use: 1in: 1wide: 1range: 1of: 1application: 1domAIns.: 1在本文中,我们探讨了如何使用 Java 8 中的 Stream API 进行词频统计。我们展示了如何准备数据、使用 Stream API 进行词频统计,并打印出结果。Java 8 的 Stream API 提供了一种简单、易于理解和高效的方式来处理集合数据,使得词频统计变得更加简单和优雅。希望这个案例代码能帮助您更好地理解和使用 Java 8 中的 Stream API。Copyright © 2025 IZhiDa.com All Rights Reserved.
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