Crowdsourcing Marketplace for Text Creation Tasks Case Study: Text Summarization Tasks

<p align=”justify”>The case study used in this final project is the text summarization tasks, there has been algorithm that help ease the process, which is using Automatic Text Summarization. However, the algorithm is not able to produce precise and accurate work results and manmade summ...

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Main Author: Anglila Hapsari - NIM : 13514069 , Sekar
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/30856
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:30856
spelling id-itb.:308562018-07-02T10:15:34ZCrowdsourcing Marketplace for Text Creation Tasks Case Study: Text Summarization Tasks Anglila Hapsari - NIM : 13514069 , Sekar Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/30856 <p align=”justify”>The case study used in this final project is the text summarization tasks, there has been algorithm that help ease the process, which is using Automatic Text Summarization. However, the algorithm is not able to produce precise and accurate work results and manmade summaries still produces many errors and eliminate the automation aspects that exist in automatic text summarization. The solution to this problem is crowdsourcing, which is outsourcing tasks in the form of open calls online. However, there are no crowdsourcing platforms focused on text creation tasks. Meanwhile, text creation tasks require a workflow that may be different than other tasks in general. This final project examines workflows, task decomposition methods, and quality management appropriate for text creation tasks, using the case study text summarization tasks. <br /> <br /> <br /> <br /> <br /> In this final project, a crowdsourcing marketplace is created using the prototyping method. It must meet all the requirements of crowdsourcing text creation tasks. We tested two kinds of workflow and task decomposition methods, namely Partition-Map-Reduce and Worker Based Task Decomposition, as well as two kinds of quality management, namely Find-Fix-Verify and Evaluation by Experts with Real-time Support. <br /> <br /> <br /> <br /> <br /> This final project implementation resulted a crowdsourcing marketplace for text creation tasks called Ensemble. The results of functional testing show that out of fourteen functional requirements, nine have been fulfilled, while 80% -90% of workers agreed that the remaining five functional requirements have been met. The test results show that the Partition-MapReduce the workflow and task decomposition method, as well as quality management in the form of Evaluation by Expert and real-time support can be used for text creation tasks, and is the best for the case study and sample population in this final project.<p align=”justify”> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description <p align=”justify”>The case study used in this final project is the text summarization tasks, there has been algorithm that help ease the process, which is using Automatic Text Summarization. However, the algorithm is not able to produce precise and accurate work results and manmade summaries still produces many errors and eliminate the automation aspects that exist in automatic text summarization. The solution to this problem is crowdsourcing, which is outsourcing tasks in the form of open calls online. However, there are no crowdsourcing platforms focused on text creation tasks. Meanwhile, text creation tasks require a workflow that may be different than other tasks in general. This final project examines workflows, task decomposition methods, and quality management appropriate for text creation tasks, using the case study text summarization tasks. <br /> <br /> <br /> <br /> <br /> In this final project, a crowdsourcing marketplace is created using the prototyping method. It must meet all the requirements of crowdsourcing text creation tasks. We tested two kinds of workflow and task decomposition methods, namely Partition-Map-Reduce and Worker Based Task Decomposition, as well as two kinds of quality management, namely Find-Fix-Verify and Evaluation by Experts with Real-time Support. <br /> <br /> <br /> <br /> <br /> This final project implementation resulted a crowdsourcing marketplace for text creation tasks called Ensemble. The results of functional testing show that out of fourteen functional requirements, nine have been fulfilled, while 80% -90% of workers agreed that the remaining five functional requirements have been met. The test results show that the Partition-MapReduce the workflow and task decomposition method, as well as quality management in the form of Evaluation by Expert and real-time support can be used for text creation tasks, and is the best for the case study and sample population in this final project.<p align=”justify”>
format Final Project
author Anglila Hapsari - NIM : 13514069 , Sekar
spellingShingle Anglila Hapsari - NIM : 13514069 , Sekar
Crowdsourcing Marketplace for Text Creation Tasks Case Study: Text Summarization Tasks
author_facet Anglila Hapsari - NIM : 13514069 , Sekar
author_sort Anglila Hapsari - NIM : 13514069 , Sekar
title Crowdsourcing Marketplace for Text Creation Tasks Case Study: Text Summarization Tasks
title_short Crowdsourcing Marketplace for Text Creation Tasks Case Study: Text Summarization Tasks
title_full Crowdsourcing Marketplace for Text Creation Tasks Case Study: Text Summarization Tasks
title_fullStr Crowdsourcing Marketplace for Text Creation Tasks Case Study: Text Summarization Tasks
title_full_unstemmed Crowdsourcing Marketplace for Text Creation Tasks Case Study: Text Summarization Tasks
title_sort crowdsourcing marketplace for text creation tasks case study: text summarization tasks
url https://digilib.itb.ac.id/gdl/view/30856
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