Snobol4【1】 语言文本分析实战：情感分析【2】初步实现
情感分析是自然语言处理【3】（NLP）领域的一个重要分支，它旨在识别和提取文本中的主观信息，并对其进行分类。Snobol4 是一种古老的编程语言，以其简洁和高效著称。本文将探讨如何使用 Snobol4 语言实现一个简单的情感分析模型，以分析文本的情感倾向。
Snobol4 简介
Snobol4 是一种高级编程语言，由David J. Farber、Ralph E. Griswold 和 Ivan P. Polonsky 在1962年设计。它以其独特的模式匹配和字符串处理能力而闻名。Snobol4 的语法简洁，易于理解，适合于文本处理任务。
情感分析基础
在开始编写代码之前，我们需要了解情感分析的基本概念。情感分析通常分为以下几步：
1. 文本预处理【4】：包括去除停用词【5】、标点符号、数字等。
2. 特征提取【6】：将文本转换为计算机可以理解的格式，如词袋模型【7】或TF-IDF【8】。
3. 模型训练【9】：使用标注好的数据集训练分类器。
4. 情感预测【10】：使用训练好的模型对新的文本进行情感分类。
Snobol4 情感分析实现
1. 文本预处理
我们需要编写一个 Snobol4 程序来处理文本，去除停用词和标点符号。
```snobol
:input
input:line
output:line
:remove_punctuation
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:remove_stopwords
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