Deploying Natural Language Processing to Extract Key Product Features of Crowdfunding Campaigns: The Case of 3D Printing Technologies on Kickstarter

Authors

Nina Chaichi, Portland State University
Tim R. Anderson, Portland State UniversityFollow

Published In

2019 Portland International Conference on Management of Engineering and Technology (PICMET)

Document Type

Article

Publication Date

2019

Subjects

Technology -- Management, Crowd funding -- Decision making, Keyword searching -- Analysis, Natural language processing, Kickstarter.com

Abstract

In the technology management field, informal source of information such as social media has been used for technology mining, leader user detection, and etc. However, usually unstructured nature of the informal information introduces some challenges. This study is part of an effort to automate key product features extraction from crowdfunding campaign's textual information, in order to analyze the effect of them on the decision-making process of crowdfunding backers. This paper intends to evaluate the performance of UDPipe R package and six keyword extraction techniques on candidate features selection from textual data of 3D printer campaigns on Kickstarter. In the end, it will be discussed which technique captures the 3D printer features better.

Description

This is the publisher's final PDF. Copyright 2019 by PICMET. Paper delivered at the 2019 Proceedings of PICMET '19: Technology Management in the World of Intelligent Systems

Locate the Document

https://doi.org/10.23919/PICMET.2019.8893839

DOI

10.23919/PICMET.2019.8893839

Persistent Identifier

https://archives.pdx.edu/ds/psu/32678

Citation Details

N. Chaichi and T. Anderson, "Deploying Natural Language Processing to Extract Key Product Features of Crowdfunding Campaigns: The Case of 3D Printing Technologies on Kickstarter," 2019 Portland International Conference on Management of Engineering and Technology (PICMET), Portland, OR, USA, 2019, pp. 1-9.