During your second Individual Project (IP), you will utilize your Python environment to derive...

Question

During your second Individual Project (IP), you will utilize your Python environment to derive structure from unstructured data. You will utilize the data set "Airline Sentiment" from Kaggle open data sets located athttps://www.kaggle.com/welkin10/airline-sentiment.

Using this data set, you will create a text analytics Python application that extracts themes from each comment using term frequency–inverse document frequency (TF–IDF) or simple word counts. For the deliverable, provide your Python file and a .csv with your results added as a column to the original data set.

Aditi · Accepted Answer

SOLUTION
import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
pd.set_option('display.max_columns', 20)
df_full = pd.read_csv("Tweets.csv") #read csv into pandas dataframe
df_text = df_full.

During your second Individual Project (IP), you will utilize your Python environment to derive structure from unstructured data. You will utilize the data set "Airline Sentiment" from Kaggle open data...

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