Write a program that displays the top N most occurring words in a file along with the number of times the word appeared. All input will be valid Assume that shake_it_off.txt contains the lyrics to Taylor Swift’s song “Shake it Off” which can be found here:
In order to write a program that displays the top N most occurring words in a file, we need to break down the problem into smaller, manageable tasks.
Firstly, we need to read the contents of the file and store them in memory. We can achieve this by opening the file and using appropriate file handling techniques. Assuming that the file “shake_it_off.txt” contains the lyrics to Taylor Swift’s song “Shake it Off”, we can leverage existing programming languages’ file input methods to accomplish this.
Next, we need to separate the contents of the file into individual words. This process is known as tokenization and can involve removing punctuation, converting all words to lowercase, and splitting the text into individual words. We can accomplish this by using regular expressions or string manipulation functions provided by programming languages. It is important to preprocess the data in a consistent manner, as the program might distinguish between different forms of the same word such as “shake” and “shakes”.
After tokenizing the text, we should count the frequency of each word. One way to achieve this is to use a hash table or dictionary data structure, where the keys are the unique words and the values are the counts of their occurrences. As we iterate through each word, we update the count in the dictionary accordingly. For efficiency purposes, we can make use of pre-existing libraries or functions that specialize in word counting.
Once we have obtained the frequency of each word, we can sort the words based on their frequency in descending order. We can accomplish this by extracting the key-value pairs from the dictionary into a list or array and then using sorting algorithms provided by the programming language.
The last step is to display the top N most occurring words along with the number of times they appear. We can achieve this by iterating through the sorted list and displaying the word and its associated count.
To ensure the program handles all valid input, we can add error handling techniques such as checking if the file exists before reading its contents, validating the value of N to prevent invalid input, and handling any unexpected errors gracefully.
In conclusion, by following the steps outlined above, we can write a program that displays the top N most occurring words in a file, along with their respective frequencies. This program can be a valuable tool for analyzing text data and extracting meaningful insights.