M
Mario Cataldi
Researcher at University of Paris
Publications - 35
Citations - 922
Mario Cataldi is an academic researcher from University of Paris. The author has contributed to research in topics: Taxonomy (general) & Microblogging. The author has an hindex of 11, co-authored 33 publications receiving 875 citations. Previous affiliations of Mario Cataldi include École Centrale Paris & University of Turin.
Papers
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Proceedings ArticleDOI
Emerging topic detection on Twitter based on temporal and social terms evaluation
TL;DR: A novel topic detection technique that permits to retrieve in real-time the most emergent topics expressed by the community, under user-specified time constraints is proposed.
Journal ArticleDOI
Personalized emerging topic detection based on a term aging model
TL;DR: This article proposes a novel, user-aware topic detection technique that permits to retrieve, in real time, the most emerging topics of discussion expressed by the community within the interests of specific users.
Proceedings ArticleDOI
CoSeNa: a context-based search and navigation system
TL;DR: This paper proposes an innovative approach to exploring text collections using a novel keywords-by-concepts (KbC) graph, which supports navigation using domain-specific concepts as well as keywords that are characterizing the text corpus.
Journal ArticleDOI
Good location, terrible food: detecting feature sentiment in user-generated reviews
TL;DR: This paper presents an approach to feature-level sentiment detection that integrates natural language processing with statistical techniques, in order to extract users’ opinions about specific features of products and services from user-generated reviews.
Proceedings ArticleDOI
Field selection for job categorization and recommendation to social network users
TL;DR: A novel method to formalize the textual content of job offers that aims at identifying the most relevant information and fields expressed by them and leverage this compact formalization for job recommendation and profile matching in social network environments is presented.