Data Science Mini Project : NLP on Reviews – Wordclouds

This project is your first steps to deriving insights from the gold mine of data that is text, and your first foray into NLP. Learn how to process raw text and make wordclouds.

Project Features

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

5/5 (3) 18+ Enrolled Learners
2 Lessons

Project Problem Statement

A restaurant in Las Vegas has a lot of text reviews from a major portal. This information is very rich and important as it comes straight from the customer feedback. A lot of potential customers read the reviews, so it’s important for the restaurant to assess and understand these. The restaurant therefore wants to understand from this data what customers are liking and disliking about them. In this mini project, you’ll load the raw data into Python from the TSV file provided. Using the WordCloud package in Python, make a word cloud on the data, without any pre-processing. Note that we want to look at the raw data (without ANY processing or clean up at all!).

Steps to Solve

  1. Load the raw text using read_csv method in pandas.
  2. Making wordcloud on the raw unprocessed data -
    1. the package removes certain words by default - we don’t want this
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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