Create a Python program to import a csv file into the program, count all of the words per row and add that number into a new column using term frequencyinverse document frequency (TFIDF). CSV file has 15 columns and 14,000 rows.

Here is a snippit of the file because I cannot attach it.

tweet_id

airline_sentiment

airline_sentiment_confidence

negativereason

negativereason_confidence

airline

airline_sentiment_gold

name

negativereason_gold

retweet_count

text

tweet_coord

tweet_created

tweet_location

user_timezone

tf-idf

570306133677760000

neutral

1

Virgin America

cairdin

0

@VirginAmerica What @dhepburn said.

2/24/2015 11:35

Eastern Time (US & Canada)

570301130888122000

positive

0.3486

0

Virgin America

jnardino

0

@VirginAmerica plus you've added commercials to the experience... tacky.

2/24/2015 11:15

Pacific Time (US & Canada)

570301083672813000

neutral

0.6837

Virgin America

yvonnalynn

0

@VirginAmerica I didn't today... Must mean I need to take another trip!

2/24/2015 11:15

Lets Play

Central Time (US & Canada)

570301031407624000

negative

1

Bad Flight

0.7033

Virgin America

jnardino

0

@VirginAmerica it's really aggressive to blast obnoxious "entertainment" in your guests' faces & they have little recourse

2/24/2015 11:15

Pacific Time (US & Canada)