Skip to content

Latest commit

 

History

History
10 lines (8 loc) · 730 Bytes

File metadata and controls

10 lines (8 loc) · 730 Bytes

App_Review_Sentiment_Analysis_using_Python

App Review Sentiment Analysis using Python and exploring libraries like wordcloud and textblob. Originally by Aman Kharwal

Introduction

App Reviews Sentiment Analysis is a valuable tool for app developers and businesses to understand user feedback, prioritize feature updates, and maintain a positive user community.

  • Explore the data and perform App Reviews Sentiment Analysis with the help of different libraries available in python.
  • Assign Sentiment value to the text review and understand the common words used in each of the sentiments to analyse and understand the user feedback better.

Packages Used:

Pandas, seaborn, matplotlib.pyplot, textblob, wordcloud, etc.