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Fig. 5 Data extraction project instructions in CrowdFlower Fig. 6 Sample data extraction task in CrowdFlower.
Fig. 7 Data extraction project instructions in PyBossa Fig. 8 Sample data extraction task in PyBossa.
In our case, there may be no obvious spam in the results of the unpaid data extraction project, but we cannot conclude that spam does not exist in unpaid crowdsourcing.
From our experiments, we observed that the quality of unpaid crowd work is similar to paid crowd work in the sentiment analysis project but is significantly higher than paid crowd work in the data extraction project.
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We also evaluate its performance in sentiment analysis and data extraction projects.
Additionally, we compared unpaid to paid crowdsourcing by applying the two crowdsourcing methods to sentiment analysis and data extraction projects.
Amongst the chemical structure extraction efforts to date, the Chemical-Literature Data-Extraction Project (CLiDE) [9] is available commercially.
For example, unpaid sentiment analysis and data extraction crowdsourcing projects may not attract volunteers because they can be tedious and would primarily benefit the requester.
Data were systematically extracted using a data extraction form by individual project team members and verified by one other project team member.
Before starting data extraction a small pilot project was carried out on 25 random records from the ICTRP database to test the assessment framework.
Similar to recruitment, project staff encountered delays due to accreditation surveys, electronic data extraction issues, and labor requirements.
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