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LinkedIn App - User Feedback Analysis

Himanshu Sharma
3 min readJul 3, 2021

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Using Obsei for scrapping data and analyzing it

Photo by Obi Onyeador on Unsplash

Customer feedback is an important aspect to be considered for the growth of the product. If we can analyze what difficulties users are facing, what are the different feedbacks or comments we are getting then we can use those feedbacks to improve our products.

Generally, applications of Google Playstore attract a large number of user feedbacks and comments but it is difficult to read out each one of them and analyze them for improvement in the product. Obsei can not only help you scrapping the feedbacks but you can also perform feedback analysis and support ticket analysis.

Obsei is an open-source python library that has multiple functionalities in terms of scrapping the data from the web, perform sentiment analysis on it, and generate insights.

In this article, we will explore the functionalities that Obsei provides.

Let’s get started…

Installing required libraries

We will start by installing an Obsei using pip. The command given below will do that.

!pip install git+https://github.com/obsei/obsei.git

Importing required libraries

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Himanshu Sharma
Himanshu Sharma

Written by Himanshu Sharma

I write about my learnings in the field of Data Science, Visualization, Artificial Intelligence, etc.| Linkedin: https://www.linkedin.com/in/himanshusharmads/

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