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Liang Qingxuan (Wendy)

1st-year master's student

Advisor: Prof. Ptaszynski

About Me

In my bachelor’s thesis, I conducted research on tourism recommendation systems. The integration of NLP and AI has become an emerging trend for recommendation‑system applications, with particular emphasis on sentiment analysis of user‑generated comments. Meanwhile, numerous unresolved challenges remain within music recommendation systems. For this reason, I shifted my research focus to music sentiment analysis upon joining TiP.

Research Interests

  • Music Sentiment Analysis Fusing Lyrics and Comments

Background

  • 2020 — 2024 University of Wisconsin Eau Claire / Suzhou University of Technology
  • 2026 — joined TiP Lab

Publications & Achievements

  • (List your papers, conference presentations, awards)
  • (Google Scholar / GitHub / ORCID / personal website)

Hobbies

MUSIC, GAME, ANIME, MOUNTAIN CLAMBING