Skip to content
VuFind
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Recommending valuable ideas in...
Holdings
Cite this
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Recommending valuable ideas in an open innovation community
Bibliographic Details
Main Authors:
Hanjun, Lee
,
Keunho, Choi
,
Donghee, Yoo
,
Yongmoo, Suh
,
Soowon, Lee
,
Guijia, He
Format:
text
Language:
eng
Published:
Emerald
2018
Subjects:
Sentiment analysis,Text mining,Open innovation,Data mining,MyStarbucksIdea.com,Recommendation system
Holdings
Description
Similar Items
Staff View
Similar Items
Who creates value in a user innovation community? A case study of MyStarbucksIdea.com
by: Hanjun, Lee, et al.
Published: (2016)
Twitter Sentiment Mining: A Multi Domain Analysis
by: Shahheidari, S., et al.
Published: (2013)
Characters-based sentiment identification method for short and informal Chinese text
by: Qiujun, Lan, et al.
Published: (2018)
Ontology boosted deep learning for disease name extraction from Twitter messages
by: Mark Abraham Magumba, et al.
Published: (2018-09-01)
Improving sentiment scoring mechanism: a case study on airline services
by: Wandeep, Kaur, et al.
Published: (2018)
×
Loading...