Keyword Extraction from Text

This function extracts keywords from the given text, filtering out common English words.

Technology Stack : os, re

Code Type : Function

Code Difficulty : Intermediate

                
                    
import os
import re

def extract_keywords(text):
    """
    提取文本中的关键词。

    :param text: 要提取关键词的文本
    :return: 一个列表，包含提取出的关键词
    """
    # 使用正则表达式匹配可能的英文单词
    keywords = re.findall(r'\b\w+\b', text)
    # 过滤掉常见的英文单词，只保留可能的关键词
    stop_words = set(['the', 'and', 'is', 'in', 'to', 'a', 'of', 'for', 'on', 'with', 'as', 'by', 'that', 'it', 'this', 'are', 'be', 'at', 'or', 'from', 'have', 'has', 'an', 'which', 'not', 'but', 'their', 'can', 'if', 'will', 'their', 'all', 'any', 'such', 'out', 'may', 'one', 'other', 'into', 'more', 'most', 'very', 'also', 'these', 'some', 'such', 'like', 'no', 'my', 'our', 'his', 'her', 'its', 'myself', 'yourself', 'himself', 'herself', 'itself', 'themselves', 'us', 'we', 'you', 'he', 'she', 'it', 'they', 'them', 'am', 'is', 'are', 'was', 'were', 'be', 'being', 'been', 'have', 'has', 'had', 'having', 'do', 'does', 'did', 'doing', 'a', 'an', 'the', 'and', 'but', 'if', 'or', 'because', 'as', 'until', 'while', 'of', 'at', 'by', 'for', 'with', 'about', 'against', 'between', 'into', 'through', 'during', 'before', 'after', 'above', 'below', 'to', 'from', 'up', 'down', 'in', 'out', 'on', 'off', 'over', 'under', 'again', 'further', 'then', 'once'])
    filtered_keywords = [word for word in keywords if word.lower() not in stop_words]
    return filtered_keywords