ChatGPT Plus with Code Interpreter is a powerful plugin developed by OpenAI that acts as your own personal data scientist. In this article, we will explore how to use Code Interpreter to analyze user sentiment in app reviews.
To begin, we need a dataset to work with. Kaggle is a great resource for finding various datasets, and for this analysis, we have chosen a dataset of 200,000 App Store reviews from a food delivery app called Zomato.
As a product manager, your task is to identify overall sentiment outliers and potential future problems, as well as any emerging patterns or trends. Code Interpreter makes this task much easier by providing a simple API for performing sentiment analysis.
First, we load the dataset into Code Interpreter and perform sentiment analysis on the review text. The analysis reveals that 60% of the reviews have a positive sentiment, 33% have a negative sentiment, and 7% are neutral.
Next, we examine the user ratings distribution. We find that 43% of the users gave a rating of one, while 38% gave a rating of five. Ratings of two, three, and four were less common.
There seems to be a discrepancy between the sentiment analysis and the user ratings. While the sentiment analysis suggests a majority of positive sentiment, the ratings show a significant portion of low ratings. This could be due to users being more likely to leave a review when they have a negative experience.
To gain further insights, we look at the reviews with the most thumbs up reactions. These reviews highlight the offers and ease of use provided by the Zomato app, but also point out areas for improvement such as navigability and navigation accuracy.
Code Interpreter also provides visualizations of the insights. We can see the distribution of sentiments among the sampled reviews and the distribution of user ratings. Additionally, we visualize the top reviews with the most thumbs up reactions, which helps identify important features or issues of interest to many users.
In conclusion, Code Interpreter is a valuable tool for analyzing user sentiment in app reviews. It allows product managers to quickly extract insights and produce visualizations, helping them make informed decisions for future development efforts. By leveraging Code Interpreter, you can gain valuable insights from any dataset and perform data analysis with ease.
