Ci2 Researcher

Ricardo Campos

Collaborator

Intelligent and Pervasive Environments

ricardo.campos@ipt.pt

ORCID: 0000-0002-8767-8126
Ciência ID: 1617-7592-123C
Scholar ID: abU3flQAAAAJ
Scopus ID: 15130810800

Projects: 3
Publications: 41
Areas of Interest
INFORMATION RETRIEVAL
TEMPORAL INFORMATION RETRIEVAL
QUERY ANALYSIS
TEMPORAL CLUSTERING
Academic Information
Academic Degree

Doctorate (PhD)

Graduation Year

2013

Ci2 Information
Entry Date at Ci2

2018-01-31

About

Ricardo Campos is an Assistant Professor at the University of Beira Interior (UBI) and an invited professor at the Porto Business School (PBS). He lectures courses related to data science, big data, text mining and programming. While at the Polytechnic Institute of Tomar (IPT), where he stayed from 2003 to 2023, he was a director of the BSc on Information Communication and Technologies (2016-2017) and head of several courses in the MSc. of Computer Engineering and in the Business Intelligence and Analytics. He consistently received an excellent rating according to the Teaching Staff Performance Assessment Regulation and a high average satisfaction score from students of IPT, PBS and UBI [5.81 out of 6], having been distinguished twice by PBS with the Best Teacher Award for the Graduation program he teaches. He is a senior researcher of LIAAD-INESC TEC, the Artificial Intelligence and Decision Support Lab of the University of Porto (U. Porto), and a collaborator of Ci2.ipt, the Smart Cities Research Center of the IPT. He holds a PhD in Computer Science by U. Porto, MSc. in Computer Engineering by UBI and BSc. in Mathematics and Computers by UBI. With over ten years of experience in Information Retrieval (IR) and Natural Language Processing (NLP), Ricardo has distinguished himself through impactful research, earning multiple awards such as best papers and best reviewer at top-tier international conferences. He is the leading author of the highly impactful Yake! keyword extractor toolkit (http://yake.inesctec.pt) and the tell me stories project (http://contamehistorias.pt). His current research focuses on developing methods concerned with the process of narrative extraction from texts. He is particularly interested in practical approaches regarding the relationship behind entities, events, and temporal aspects, as a means to make sense of unstructured data. He has been leading research and innovation projects on IR, NLP and Data Science funded by the Portuguese Foundation for Science and Technologie (FCT). He was also responsible researcher of the project PT.Pump-Up (INESC TEC) and co-investigator responsible for the FCT project Text2Story – Extracting journalistic narratives from text and representing them in a narrative modelling language (INESC TEC). Currently, he is a co-pi of the StorySense project - Reaching the Semantic Layers of Stories in Text (INESC TEC) funded by FCT and a participant at the project PTicola, an Advanced Computing (Artificial Intelligence in Cloud) project, promoted by FCT in collaboration with Google. He is an editorial board member of the International Journal of Data Science and Analytics (Springer) and of the Information Processing & Management Journal (Elsevier), where he assumed the role of guest editor in two occasions, co-chaired international conferences and workshops, and is a regular member of the scientific committee of several international rank A* and A conferences in the domain of IR and NLP. He is frequently invited as a keynote speaker at scientific events and moderator of scientific sessions at rank A* and A conferences. Currently, he is a member of the Scientific Advisory Forum of the Portulan Clarin (https://portulanclarin.net), part of CLARIN ERIC (https://www.clarin.eu/), a research infrastructure for the science and technology of the Portuguese language. More in https://www.di.ubi.pt/~rcampos

Projects

Publications

Displaying items 21-25 of 41 in total
Book chapter
Greening a PostIndustrial City:  Applying keyword extractor methods to monitor a fast-changing environmental narrative.
Unlocking Environmental Narratives: Towards Understanding Human Environment Interactions through Computational Text Analysis

2022
Q4
Not indexed
Conference paper
The 4th International Workshop on Narrative Extraction from Texts: Text2Story 2021
43rd European Conference on Information Retrieval

2021
Q3
Scopus
Conference paper
Estimating Contemporary Relevance of Past News
ACM/IEEE Joint Conference on Digital Libraries

2021
Unranked
Scopus
Conference paper
Brat2Viz: A tool and pipeline for visualizing narratives from annotated texts
Text2Story — Fourth Workshop on Narrative Extraction From Texts Held

2021
Unranked
Scopus
Conference paper
Exploding TV Sets and Disappointing Laptops: Suggesting Interesting Content in News Archives Based on Surprise Estimation
European Conference on Information Retrieval

2021
Unranked
Scopus