Here you'll find my assignments/projects, and resources from web science course at the University of Bergen. Throughout the course, I gained extensive knowledge of Web Science, including web data crawling, analysis, and visualization using Python and its libraries such as Spacy, Django, and Scrapy.
I also explored exciting topics such as social web mining, utilizing APIs like GitHub API and Wikipedia API to extract valuable insights from social web data.
- Web architecture, Client side technologies, XML, HTML, XPATh
- Web architecture, Server side development with Django
- Web Scraping, bs4 library
- Web Crawling and Error handling
- Developing web crawling with scrapy
- Scraping javaScript with Selenium library
- Web mining using natural language toolkit, spaCy library and resources
- Graph and Networkx library
- Network Visualization, Gephi tool
- Measuring and restructuring networks
- Web service and crawling through API
- Semantic Web, knowledge graph and wikidata SPARQL query language
- Mining the social web (GitHub and Wikipedia
University of Bergen, spring 2023.