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Found 6 papers, 0 papers with code
Conversational Data Exploration: A Game-Changer for Designing Data Science Pipelines
This paper proposes a conversational approach implemented by the system Chatin for driving an intuitive data exploration experience.
Data Centred Intelligent Geosciences: Research Agenda and Opportunities, Position Paper
This paper describes and discusses our vision to develop and reason about best practices and novel ways of curating data-centric geosciences knowledge (data, experiments, models, methods, conclusions, and interpretations).
CMTA: COVID-19 Misinformation Multilingual Analysis on Twitter
To access the performance of the CMTA multilingual model, we performed a comparative analysis of 8 monolingual model and CMTA for the misinformation detection task.
Looking for COVID-19 misinformation in multilingual social media texts
CMTA proposes a data science (DS) pipeline that applies machine learning models for processing, classifying (Dense-CNN) and analyzing (MBERT) multilingual (micro)-texts.
COVID-19 Misinformation on Twitter: Multilingual Analysis
This paper presents a multilingual COVID-19 related tweet analysis method, CMTA, that usesBERT, a deep learning model for multilingual tweet misinformation detection and classification. CMTA extracts features from multilingual textual data, which is then categorized into specific information classes.
S_Covid: An Engine to Explore COVID-19 Scientific Literature
This paper introduces S_Covid, an end-to-end unsupervised learning based question-answering engine for exploring COVID-19 scientific literature collections.
