```python import re from collections import defaultdict

分割句子和字

def split_words(text): words = text.split() return [word.lower() for word in words]

提取特定字眼（如文言词）

def extract文言词(text, pattern): words = text.lower().split() matches = re.findall(pattern, text) result = [] for match in matches: result.append(match) return result

判断文言词

def is_wrod(word): mapping = { "有": "有", "之": "之", "而": "而", "于": "于", "为": "为" } for char, translate in mapping.items(): if word.lower().lower()[char] != translating[char]: return False return True

分析诗句特征

def analyze_pos(text): words = text.split() pos_counts = defaultdict(int) for word in words: for p in ['正面', '负面']: pos_counts[p] = 1 if p == '正面' else -1 avg正面 = sum(pos_counts['正面']) / len(words) avg_negative = sum(pos_counts['负面']) / len(words) return {'正面平均': round(avg_positive), '负面平均': round(avg_negative)}

提取词汇和短语

def extract_terms(text, word_or phrase): # 分别提取单词和分词（包括逗号） words = re.findall(word_or phrase, text) terms = [word.lower() for word in words if len(word)

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