Analyze news Assignment Specification Description: This program will read a pre-processed set of news and extract information about their content. The dataset. News_2021.csv contains 769 rows composed by: title link keywords creator video_url description content pubDate full_description image_url source_id. News have been collected during the period 10/24/21 and 10/26/21 and they are primarily related to COVID-19. Input: No user provided input. Data will be from the file News_2021.csv Output: 1. Print the 20 most common words 2. Print the articles related to COVID-19 and calculate their percentage of the total 3. Print the sentiment for the articles NOT related to COVID-19 4. Print the sentiment for ALL the articles 5. Create a wordcloud with the words in the articles NOT related to COVID-19 6.

Create a wordcloud with the words in ALL the articles See details in the Procedure. Procedure: 1. Read the input file into a list 2. Text is in either/or "description" or "content": merge the 2 columns and create a list with all the text 3. Clean the text using the file stopwords_en.txt 4. Perform the analysis required as "Output" 5. Submit your .py file and an