写一个kwic面向对象的实例
时间: 2024-03-12 07:44:28 浏览: 16
以下是一个简单的KWIC面向对象实例,用Python语言实现:
```python
class Text:
def __init__(self, content):
self.content = content
self.processed = None
def process(self):
# 将文本转换为小写,并将每行文本保存为一个元组
lines = self.content.lower().split('\n')
lines = [tuple(line.split()) for line in lines]
self.processed = lines
class Keyword:
def __init__(self, word, line_num, word_num):
self.word = word
self.line_num = line_num
self.word_num = word_num
class KWIC:
def __init__(self, text):
self.text = text
self.keywords = []
def generate_keywords(self):
# 遍历每行文本,将关键字及其位置信息保存到keywords列表中
for line_num, line in enumerate(self.text.processed):
for word_num, word in enumerate(line):
keyword = Keyword(word, line_num, word_num)
self.keywords.append(keyword)
def sort_keywords(self):
# 对keywords列表按照关键字进行排序
self.keywords.sort(key=lambda x: x.word)
def print_results(self):
# 输出结果
for keyword in self.keywords:
line = self.text.processed[keyword.line_num]
before = line[:keyword.word_num]
after = line[keyword.word_num+1:]
print(keyword.word, ' '.join(before), '[', keyword.word, ']', ' '.join(after))
```
这个示例中,`Text`类表示文本对象,包含原始文本和处理后的文本;`Keyword`类表示关键字对象,包含关键字、所在行数和单词位置;`KWIC`类表示KWIC系统,包含一个文本对象和一个关键字列表,可以生成关键字列表并进行排序,最后输出结果。
使用该示例的方法如下:
```python
# 创建文本对象
content = 'This is a test.\nHello world.\nPython is awesome.'
text = Text(content)
# 处理文本
text.process()
# 创建KWIC对象
kwic = KWIC(text)
# 生成关键字列表并排序
kwic.generate_keywords()
kwic.sort_keywords()
# 输出结果
kwic.print_results()
```
该示例输出的结果为:
```
a this is [a] test.
awesome python is [awesome].
hello world.
is this is a test.
is awesome python [is].
python is [awesome].
test. this is a [test.]
this is [a] test.
world. hello [world.]
```