Portfolio Details

Description

In the era of a flourishing sci-tech revolution, dating apps like Tinder have transformed how people connect, making it essential for developers to understand user sentiments to improve products, manage reputation, and refine marketing strategies. Sentiment analysis, a subfield of Natural Language Processing (NLP), leverages techniques like tokenization, word embeddings, and machine learning to classify emotions expressed in text as positive or negative. This project focuses on analyzing Tinder app reviews from the Google Play Store using data science and NLP methods to automatically assess user sentiments and derive actionable insights.