An LLM pipeline that filters millions of Persian political tweets and generates abstractive and extractive profiles per stance claim outperforms existing profiling baselines on a human-validated stance QA task.
User Profiling Trends, Techniques and Applications
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
The Personalization of information has taken recommender systems at a very high level. With personalization these systems can generate user specific recommendations accurately and efficiently. User profiling helps personalization, where information retrieval is done to personalize a scenario which maintains a separate user profile for individual user. The main objective of this paper is to explore this field of personalization in context of user profiling, to help researchers make aware of the user profiling. Various trends, techniques and Applications have been discussed in paper which will fulfill this motto.
fields
cs.SI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling
An LLM pipeline that filters millions of Persian political tweets and generates abstractive and extractive profiles per stance claim outperforms existing profiling baselines on a human-validated stance QA task.