master-thesis-codebase's Introduction
=========================================== App Store Data Mining and Analysis Project =========================================== This project archive contains the source code and data files of the thesis: "App ecosystem out of balance: An empirical analysis of update interdependence between operating system and application software". Since the data files are too large for a Github upload, they are provided locally. ------------------------------------------- 1) General Information ------------------------------------------- In the course of the thesis, five Python modules were developed for data mining and analysis purposes. An overview of the high-level module architecture can be found in the thesis appendix A.2. The raw data set of scraped customer reviews along with processed versions and other essential files can be found in the "data_files" folder. ------------------------------------------- 2) Folder directory ------------------------------------------- Codebase │ ├── README.txt ├── requirements.txt # list with version numbers of all used packages ├── data_files │ ├── ... # contains review data, model files, app mapping table, and more └── modules ├── appfigures_bot │ └── ... # contains module for scraping Appfigures' API ├── data_preparator │ └── ... # contains module for data preparation ├── data_processor │ └── ... # contains module for data processing and analysis ├── feed_scraper │ └── ... # contains module for scraping Apple's RSS feed └── main.py # module for controlling the process flow of all other modules ------------------------------------------- 3) Installation ------------------------------------------- The source code works with Python 3.7, or newer, and implements several open source Python libraries. The "requirements.txt" contains all Python packages that need to be installed with the pip install command. The execution of the code is controlled through the "main.py" module.
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.