Crowdsourcing is increasingly applied in the area of open development with the goal to find solutions for today's pressing societal issues.
How Text Mining Algorithms for Crowdsourcing Can Help Us to ...
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In this study we address this issue by applying an automated text mining technique to analyze the ideas contributed by the crowd in an initiative tackling ...
This has important implications on how to navigate through idea landscapes and control the cognitive demand of searchers when exploring ideas.
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Abstract. In this article we describe our experiences with computational text analysis involving rich social and cultural concepts.
How Text Mining Algorithms for Crowdsourcing Can Help Us to Identify Today's Pressing Societal Issues. HICSS 2019: 1-10; 2017. [j1]. view. electronic edition ...
Aug 5, 2019 · Learn more about the crowdsourced processes that underlie many content moderation algorithms – and to determine how and when human effort is required.
Jan 23, 2022 · Text-mining algorithms can efficiently process unstructured text input into numbers and structured data, enabling a statistical analysis of ...
We propose a humans-in-the-loop learning framework to model and study large volumes of unlabeled subjective social media data with less human effort. We study ...
Jul 11, 2012 · In later stages, text mining systems perform domain analysis (e.g., to determine topical details or identify aberrations from past norms) and ...
Apr 29, 2024 · Utilizing multiple annotators for each piece of data can also help improve accuracy. Through techniques such as voting or averaging labels from ...