Topic: amazon-mechanical-turk Goto Github
Some thing interesting about amazon-mechanical-turk
Some thing interesting about amazon-mechanical-turk
amazon-mechanical-turk,A crowd-sourcing system for Visual Question Answering
User: anuparna
amazon-mechanical-turk,A JavaScript tool for collecting implicit behavioral data on Amazon Mechanical Turk, etc
User: budang
amazon-mechanical-turk,To explore and evaluate the application of crowdsourcing, in general, and AMT, in specific, for developing digital public health surveillance systems, we collected 296,166 crowd-generated labels for 98,722 tweets, labelled by 610 AMT workers, to develop machine learning (ML) models for detecting behaviours related to physical activity, sedentary behaviour, and sleep quality (PASS) among Twitter users. To infer the ground truth labels and explore the quality of these labels, we studied four statistical consensus methods that are agnostic of task features and only focus on worker labelling behaviour. Moreover, to model the meta-information associated with each labelling task and leverage the potentials of context-sensitive data in the truth inference process, we developed seven ML models, including traditional classifiers (offline and active), a deep-learning-based classification model, and a hybrid convolutional neural network (CNN) model.
Organization: data-intelligence-for-health-lab
amazon-mechanical-turk,Exercises, data, and more for our 2017 summer workshop (funded by the Estes Fund and in partnership with Project Jupyter and Berkeley's D-Lab)
Organization: data-on-the-mind
amazon-mechanical-turk,Python + Boto scripts used to create and process Amazon Mechanical Turk HITs for a recent paper, "Examining the use of Amazonβs Mechanical Turk for edge extraction of the occlusal surface of fossilized bovid teeth"
User: gkthiruvathukal
Home Page: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0179757
amazon-mechanical-turk,Django-based clone of Amazon's Mechanical Turk service running in your local environment.
Organization: hltcoe
Home Page: https://turkle.readthedocs.io
amazon-mechanical-turk,Paraphrased OPinion Spam (POPS) Corpus v1.0
User: jacobis
amazon-mechanical-turk,Modern React app for bounding box annotation on mturk
User: jaxony
Home Page: https://jaxony.github.io/turktool
amazon-mechanical-turk,Code for running real vs fake experiments on Amazon Mechanical Turk
User: phillipi
amazon-mechanical-turk,A minimalistic Django app for Amazon Mechanical Turk External Question
User: raffienficiaud
amazon-mechanical-turk,Analyzing the appearances of comic book characters with Python and Amazon MTurk.
User: sigmachirality
amazon-mechanical-turk,Command-line interface (CLI) and Python library to evaluate text-to-speech (TTS) mean opinion score (MOS) studies done on Amazon Mechanical Turk (MTurk). The calculation of the confidence intervals is done in the same manner as described in (Ribeiro et al., 2011).
User: stefantaubert
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