The world of e-commerce is all about providing an exceptional customer experience. One way to achieve this is by leveraging the power of sentiment analysis and text classification for product ratings. This innovative app, built on deep learning models, aims to revolutionize the way we evaluate product quality by analyzing customer reviews. By pre-processing comments data and training a model on user feedback, this cutting-edge technology ensures a more accurate representation of product ratings.
How it Works
The app is designed to provide users with an intuitive experience, starting with data input. Simply enter your desired comment about the product, and click the "Predict" button to receive the model's prediction regarding the rating the product should have based on your comment. With the power of natural language processing (NLP) and machine learning, this app is capable of analyzing text comments and providing a more informed opinion on product quality.
Getting Started
Want to run the app locally? It's easy! First, make sure you have Visual Studio Code (VS Code) installed on your PC. This popular code editor offers a seamless development experience across Windows, Linux, and macOS. Next, clone the project using Git:
git clone https://github.com/natleynyamu/TextClassification.git
Open the project folder with VS Code, install the required dependencies using pip, and run the app using Streamlit. Once you've completed these steps, you'll be able to visualize the app in your browser.
Behind the Scenes
The app's core functionality is powered by a trained sentiment analysis model (lstm_model.h5) and a tokenizer (tokenizer.pkl). These models were developed by a team of experts, including Jessie Umuhire Umutesi, Natley Nyamukondiwa, and Emile Kamana.
Unlocking the Power of App User Experience
By leveraging the power of text classification for product ratings, this innovative app is poised to revolutionize the e-commerce industry. With its ability to analyze customer reviews and provide accurate predictions, this technology has the potential to transform the way we shop online.