This project is part of my Consumer Sentiment Analysis class at Towson University, focusing on evaluating and understanding customer feedback on Spotify. By analyzing customer reviews sourced from Kaggle, we aim to extract insights into user satisfaction and areas of improvement for Spotify. The insights derived from this analysis are crucial for understanding customer sentiment towards Spotify. By identifying patterns in user feedback, the project aims to provide actionable recommendations to improve user experience and satisfaction.
Project Objectives:
Data Collection:Gather and utilize a comprehensive dataset of Spotify customer reviews from Kaggle.
Data Cleaning:Process the data to handle missing values, remove duplicates, and correct inconsistencies.
Sentiment Analysis:Employ natural language processing (NLP) techniques to classify reviews into positive, negative, or neutral sentiments.
The dataset for this project is sourced from Kaggle, a well-known platform for data science competitions and public datasets.