Results 61 to 70 of about 229,295 (345)
Exploiting Long-Term Dependency for Topic Sentiment Analysis
IEEE Access, 2020 Most existing unsupervised approaches to detect topic sentiment in social texts consider only the text sequences in corpus and put aside social dynamics, as leads to algorithm’s disability to discover true sentiment of social users. To address the
Faliang Huang +3 more
doaj +1 more source
Topic modeling revisited: New evidence on algorithm performance and quality metrics
PLoS ONE, 2022 Topic modeling is a popular technique for exploring large document collections. It has proven useful for this task, but its application poses a number of challenges. First, the comparison of available algorithms is anything but simple, as researchers use
M. Rüdiger +3 more
semanticscholar +1 more source
Mining academic publications to automatically identify data sources
International Journal of Population Data Science, 2018 Background Discovering suitable datasets is an important part of health research, particularly for projects working with cohort data, but with the proliferation of so many national and international initiatives, it is becoming increasingly difficult for ...
Athanasios Anastasiou, Karen Tingay
doaj +1 more source
Fake news detection: a survey of evaluation datasets
PeerJ Computer Science, 2021 Fake news detection has gained increasing importance among the research community due to the widespread diffusion of fake news through media platforms. Many dataset have been released in the last few years, aiming to assess the performance of fake news ...
Arianna D’ulizia +3 more
semanticscholar +1 more source
cisTopic: cis-Regulatory topic modelling on single-cell ATAC-seq data
Nature Methods, 2019 We present cisTopic, a probabilistic framework used to simultaneously discover coaccessible enhancers and stable cell states from sparse single-cell epigenomics data (http://github.com/aertslab/cistopic).
C. Bravo González-Blas +8 more
semanticscholar +1 more source
Citation recommendation: approaches and datasets [PDF]
International Journal on Digital Libraries, 2020 Citation recommendation describes the task of recommending citations for a given text. Due to the overload of published scientific works in recent years on the one hand, and the need to cite the most appropriate publications when writing scientific texts
Michael Färber, A. Jatowt
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási +14 more
wiley +1 more source
Multilingual Dynamic Topic Model [PDF]
, 2019 Dynamic topic models (DTMs) capture the evolution of topics and trends in time series data. Current DTMs are applicable only to monolingual datasets.
Elaine Zosa +4 more
core +1 more source
Topic Detection and Tracking Based on Event Ontology
IEEE Access, 2020 In recent years, Topic Detection and Tracking (TDT) has served as a core technology for searching, organizing and structuring news oriented textual materials from a variety of internet news and social media. The biggest challenges of TDT are the sparsity
Wei Liu +4 more
doaj +1 more source
Multilingual Topic Classification in X: Dataset and Analysis
Proceedings of the 2024 Conference on Empirical Methods in Natural Language ProcessingIn the dynamic realm of social media, diverse topics are discussed daily, transcending linguistic boundaries. However, the complexities of understanding and categorising this content across various languages remain an important challenge with traditional techniques like topic modelling often struggling to accommodate this multilingual diversity.
Dimosthenis Antypas +3 more
openaire +2 more sources