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Found 7 papers, 2 papers with code
Public Sentiment on Governmental COVID-19 Measures in Dutch Social Media
Public sentiment (the opinion, attitude or feeling that the public expresses) is a factor of interest for government, as it directly influences the implementation of policies.
REE-HDSC: Recognizing Extracted Entities for the Historical Database Suriname Curacao
We describe the project REE-HDSC and outline our efforts to improve the quality of named entities extracted automatically from texts generated by hand-written text recognition (HTR) software.
Dutch General Public Reaction on Governmental COVID-19 Measures and Announcements in Twitter Data
Given the unprecedented nature of the COVID-19 crisis, having an up-to-date representation of public sentiment on governmental measures and announcements is crucial.
Utilizing a Transparency-driven Environment toward Trusted Automatic Genre Classification: A Case Study in Journalism History
With the growing abundance of unlabeled data in real-world tasks, researchers have to rely on the predictions given by black-boxed computational models.
Finding Rising and Falling Words
We examine two different methods for finding rising words (among which neologisms) and falling words (among which archaisms) in decades of magazine texts (millions of words) and in years of tweets (billions of words): one based on correlation coefficients of relative frequencies and time, and one based on comparing initial and final word frequencies of time intervals.
Nederlab: Towards a Single Portal and Research Environment for Diachronic Dutch Text Corpora
The Nederlab project aims to bring together all digitized texts relevant to the Dutch national heritage, the history of the Dutch language and culture (circa 800 {--} present) in one user friendly and tool enriched open access web interface.
