Data Science Mini Project : NLP on Reviews – analyse by sentiment

This series of projects is your first steps to deriving insights from the gold mine of data that is text, and your first foray in NLP. Learn how to analyze separate the data for positive and negative reviews and process them separately. This is part 7 of the series.

Project Features

Good for Intermediate Level
100 points for Enrolling in Project
500 points for Submitting Solution

5/5 (2) 16+ Enrolled Learners
2 Lessons

Project Problem Statement

You have seen how the word cloud looks clear on cleaned text data. Previous word cloud has both negative and positive words in it, so we were not able to get clear idea. Tasks:
  1. In this micro project you’ll separate positive reviews from negative one’s.
  2. Make a separate dataframe for positive and negative review.
  3. Then make the cleaning process on the positive and negative review.
Submit your solution as a py file or Jupyter notebook. Make sure to provide your insights as comments/markdown in the code.


Use the text cleaning function you defined earlier to clean each review.
We would like you to try it out first on your own. You will get solution of project after 1 week of enrollment. All the best!

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