Emoticon recommendation in microblog using affective trajectory model

Wei Bin Liang, Hsien Chang Wang, Yi An Chu, Chung-Hsien Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

An emoticon is a metacommunicative pictorial representation which is widely used in text-based online communication such as Plurk and Facebook to convey the user's emotions. However, these social networks still lack a mechanism to provide appropriate emoticon recommendation according to the input posts. Therefore, this paper develops an approach to emoticon recommendation in microblog. Generally, a blog post is composed of at least one emotional topic. Therefore, topic tracking is the key information for emoticon recommendation. In this paper, a fixed-size window is first employed to segment a post into a number of segments. Then, these segments are projected to emoticon profiles in the emoticon space through latent Dirichlet allocation (LDA). An affective trajectory model characterizing the emoticon profiles of the segment sequence is proposed to construct a recommendation model based on k-medoids algorithm. Finally, emoticon recommendation can be realized by similarity measure based on Hausdorff distance. To evaluate the performance of our proposed approach, the experimental data were crawled from Plurk for training and evaluation. The results show the effectiveness of the proposed approach.

Original languageEnglish
Title of host publication2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9786163618238
DOIs
Publication statusPublished - 2014 Feb 12
Event2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, Thailand
Duration: 2014 Dec 92014 Dec 12

Publication series

Name2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014

Other

Other2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
CountryThailand
CityChiang Mai
Period14-12-0914-12-12

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Information Systems

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    Liang, W. B., Wang, H. C., Chu, Y. A., & Wu, C-H. (2014). Emoticon recommendation in microblog using affective trajectory model. In 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 [7041632] (2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPA.2014.7041632