Final Answer:
Using Python and regular expressions (regex), you can extract every question from a text and serialize them into a text file saved to the current working directory. An example Python code snippet for this task is as follows:
import re
text = "Your input text containing questions goes here."
questions = re.findall(r'\b(?:what|how|why|when|where|which|who|whom)\b.*?[?.!]', text, flags=re.IGNORECASE)
with open('extracted_questions.txt', 'w') as file:
for question in questions:
file.write(question + '\\')
Step-by-step explanation:
Regular expressions provide a powerful tool for pattern matching in strings. In this example, the re.findall function is used to extract sentences that pose as questions from the given text. The regular expression r'\b(?:what|how|why|when|where|which|who|whom)\b.*?[?.!] is designed to match sentences starting with common question words. The flags=re.IGNORECASE parameter ensures case-insensitive matching.
The extracted questions are then saved to a text file named 'extracted_questions.txt' in the current working directory. The code iterates through the list of extracted questions and writes each question to a new line in the text file. This results in a clean and organized serialization of the questions for further analysis or reference.
By using this approach, you can efficiently extract questions from a given text, aiding in tasks such as natural language processing, sentiment analysis, or data categorization where understanding and analyzing questions is crucial.