Data Science Mini Project : NLP on Reviews – improve, analyse, infer!

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 improve the preprocessing, make robust analyses and inference on the data. This is part 8, and the final part of the series.

Project Features

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

5/5 (3) 7+ Enrolled Learners
2 Lessons

Project Problem Statement

Ok, now you have done the clean up part on positive and negative reviews. In this micro project you’ll make a word cloud on this cleaned positive and negative reviews. You’ll will see Positive and negatives things of the restaurant reviewed by the customers in the word cloud. Understand the word cloud and comment what insight you got from the word cloud.   Submit your solution as a py file or Jupyter notebook. Make sure to provide your insights as comments/markdown in the code.


To make the wordclouds even more helpful, include your own stopwords to remove more redundant terms.
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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