The Hebrew Twitter project is an ongoing effort of my Ph.D. laboratory (NASLB). This endeavor encompasses the extensive collection of Hebrew Twitter data since 2018, resulting in a substantial corpus of approximately 400 million Tweets. Spearheading the data collection initiative is Omer Neu, a dedicated Master’s student affiliated with the NASLAB.
I am involved in some of the efforts of this project, dealing with Hebrew NLP and general machine-learning research questions. I use natural language processing (NLP) as well as social network analysis (SNA) tools while working on this project.
Some of the efforts I take part in, related to this project:
- HaParlament Project. The project is an attempt to dynamically reflect the expressions of gratitude and the political fault lines on Hebrew Twitter. Sources: Project introduction (Hebrew); HaParlament Website (Hebrew); Media coverage (Ynet, Hebrew)
- Faking Bots (Israel Elections). Israel Elections; A critical view of the 'Big Bot Project'. Sources: Media coverage (Haaretz, English); Project introduction (Haaretz, Hebrew);
- Trending topics identification on Twitter.