Can someone help me figure this problem out in python?

How do we make computers seem intelligent? One approach is to use term extraction. Term extration is a type of information extration where we attempt to find relevant terms in text. The relevant terms come from a corpus, or set of plausible terms we want to extract. For example, suppose we have the text: one day I would like to visit Syracuse We has smart humans can be fairly confident that Syracuse is a place, more specifically a city. A rudimentary method to make the computer interpret Syracuse as a place is to provide a corpus of cities and have the computer look up Syracuse in that corpus. In this code exercise we will do just that. Let's first write a function to read cities from the file NYC2-cities.txt into a corpus of cities, which will be represented in Python as a list. Then write a main program loop to input some text, split the text into a list of words and if any of the words match a city in the corpus list we will output the word is a city. The program should handle upper/lower case matching. A good approach is to title case the input. IMPORTANT: Please note our that program will ONLY work for one word cities. Later we will provide an approach for multiple-word cities, such as New York or San Diego. Don't worry about that now SAMPLE RUN Enter some text (or ENTER to quit): one day I would like to visit syracuse and Rochester Syracuse is a city Rochester is a city Enter some text (or ENTER to quit): austin is in texas Austin is a city Enter some text (or ENTER to quit): Quitting... As usual begin your program with your plan as a to-do list. I suggest writing the loading of the corpus as a function