Joint Behavior-Topic Model for Microblogs
We propose an LDA-based behavior-topic model (B-LDA) which jointly models user topic interests and behavioral patterns. We focus the study of the model on on-line social network settings such as microblogs like Twitter where the textual content is relatively short but user interactions on them are r...
Saved in:
Main Authors: | , , |
---|---|
Format: | text |
Published: |
Institutional Knowledge at Singapore Management University
2013
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/researchdata/11 https://github.com/minghui/BLDA |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
id |
sg-smu-ink.researchdata-1010 |
---|---|
record_format |
dspace |
spelling |
sg-smu-ink.researchdata-10102015-11-27T00:29:53Z Joint Behavior-Topic Model for Microblogs QIU, Minghui ZHU, Feida JIANG, Jing We propose an LDA-based behavior-topic model (B-LDA) which jointly models user topic interests and behavioral patterns. We focus the study of the model on on-line social network settings such as microblogs like Twitter where the textual content is relatively short but user interactions on them are rich. 2013-01-01T08:00:00Z text https://ink.library.smu.edu.sg/researchdata/11 https://github.com/minghui/BLDA SMU Research Data Institutional Knowledge at Singapore Management University Computer Sciences Databases and Information Systems Social Media |
institution |
Singapore Management University |
building |
SMU Libraries |
country |
Singapore |
collection |
InK@SMU |
topic |
Computer Sciences Databases and Information Systems Social Media |
spellingShingle |
Computer Sciences Databases and Information Systems Social Media QIU, Minghui ZHU, Feida JIANG, Jing Joint Behavior-Topic Model for Microblogs |
description |
We propose an LDA-based behavior-topic model (B-LDA) which jointly models user topic interests and behavioral patterns. We focus the study of the model on on-line social network settings such as microblogs like Twitter where the textual content is relatively short but user interactions on them are rich. |
format |
text |
author |
QIU, Minghui ZHU, Feida JIANG, Jing |
author_facet |
QIU, Minghui ZHU, Feida JIANG, Jing |
author_sort |
QIU, Minghui |
title |
Joint Behavior-Topic Model for Microblogs |
title_short |
Joint Behavior-Topic Model for Microblogs |
title_full |
Joint Behavior-Topic Model for Microblogs |
title_fullStr |
Joint Behavior-Topic Model for Microblogs |
title_full_unstemmed |
Joint Behavior-Topic Model for Microblogs |
title_sort |
joint behavior-topic model for microblogs |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2013 |
url |
https://ink.library.smu.edu.sg/researchdata/11 https://github.com/minghui/BLDA |
_version_ |
1681132323366502400 |