Amazon Mechanical Turk: Sentence annotation experiments

This data collection consists of two .csv files containing lists of sentences with individual and mean sentence ratings (crowd sourced judgements) on three modes of presentation. This research holds

CESSDA2025-06-12 更新40

Dataset re-collected from an original dataset collected by Pang, B., and Lee, L. 2004. "A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts". In Proceedi

DataCite Commons2020-08-03 更新320

Disease Mention Annotation with Mechanical Turk

Data from a study on using the AMT to annotate disease in PubMed abstracts.

NIAID Data Ecosystem30