Initial price	£290,000
22/06/24	£280,000
Price Change	-3.45%

``` Comment: I think you're looking for a way to automatically extract and concatenate specific pieces of information from a block of text. This is a task for natural language processing (NLP) techniques, specifically text summarization and information extraction. However, implementing such a system from scratch is non-trivial and typically requires machine learning models that have been trained on similar tasks. There are pre-trained models like BERT, GPT-3, etc., that can be fine-tuned for this purpose. For a simple task like this, you might also consider using regular expressions or a text processing library like NLTK in Python. Comment: The task you're describing seems to be a mix of information extraction and summarization. For a simple and repetitive task like this, a custom script with regular expressions or string manipulation could work, but for more complex or variable text, machine learning models would be more suitable. If you're looking for a code solution, please specify the programming language you're interested in, and I can provide a more detailed answer. Comment: I'm looking for a solution that could be implemented as a script in Python, as it's a language I'm familiar with. The text structure is quite consistent, so I'm hoping regular expressions or a similar approach might suffice. Comment: Certainly! With Python and regular expressions, you can extract and summarize the key information from the property description. Below is a Python script that uses regular expressions to extract the relevant details and construct a summary. ## Answer (1) Here's a Python script that uses regular expressions to extract and summarize the key information from the property description. This script assumes that the input text follows a consistent format, as in your example. ```python import re def summarize_property_description(text): # Extract the property type and number of bedrooms property_type = re.search(r'(\w+) (\d+) bedroom', text, re.IGNORECASE) if property_type: property_type = property_type.group(1) + ' ' + property_type.group(2) else: property_type = 'Unknown type' # Extract the location and additional details location_match = re.search(