This is demo repo to demostrate how to scrape apps review data from Google Play Store by Python with library Google-Play-Scraper. And then use Azure Text Analytics to perform sentiment analysis for reviews content (aka comments).

Pandas practice notebooks for data analysis.

This repository contains all the Data Analytics projects that I completed during while Learning.

Perbandingan metode klasifikasi dalam analisis sentimen dengan data berasal dari google play store berupa review dan rating tentang ojek online di indonesia berdasarkan 3 aplikasi ojol, yaitu : Maxim, Grab dan Gojek.

Exploratory data analysis and visualization of the Google Play Store dataset using Python. This project focuses on uncovering trends in app installs, ratings, and user reviews while utilizing libraries like Pandas, Matplotlib, and Seaborn to create insightful visualizations and actionable insights.

In This We analysis the data and preprocess the data

Repository ini berisi analisis sentimen lengkap pada ulasan aplikasi Canva di Google Play Store. Model yang dilatih meliputi LSTM, Bidirectional LSTM (BiLSTM), GRU, dan IndoBERT (fine-tuning transformer berbahasa Indonesia).

It is an analysis on Google Play Store Apps to uncover the key factors that influence app success.

Analyze the Google Play Store App and its Sentiment Reviews to build pricing strategy for mobile apps