On Opinion Characterization in Social Sensing: A Multi-view Subspace Learning Approach

Yang Zhang, Nathan Vance, Daniel Yue Zhang, Dong Wang

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

Abstract

Social sensing has emerged as a new application paradigm in networked sensing where data is collected from humans or devices on their behalf. This paper focuses on the opinion characterization problem in social sensing where the goal is to accurately characterize opinion attributes of the participants (e.g., analyze the sentiments, understand the opinion bias) from their sensor measurements. Several important challenges exist in solving the opinion characterization problem. First, human sensors often generate unstructured data (e.g., text, image, video) in which the opinion attributes are deeply embedded. Second, human sensors naturally generate measurements in different data modalities which encode the opinion attributes differently. Third, the possible imbalance between different data modalities may lead to potential bias in the opinion characterization results. To address the above challenges, this paper develops a Multi-View Opinion Characterization (MVOC) scheme to accurately characterize opinion attributes using a multi-view subspace learning approach. We evaluate the MVOC scheme through the real-world social sensing task of classifying the sentiments of reports from Twitter users. The evaluation results show that our scheme significantly outperforms the state-of-the-art baselines in solving the opinion characterization problem.

Original languageEnglish (US)
Title of host publicationProceedings - 14th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages155-162
Number of pages8
ISBN (Electronic)9781538654705
DOIs
StatePublished - Oct 25 2018
Externally publishedYes
Event14th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2018 - Bronx, United States
Duration: Jun 18 2018Jun 19 2018

Publication series

NameProceedings - 14th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2018

Other

Other14th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2018
Country/TerritoryUnited States
CityBronx
Period6/18/186/19/18

Keywords

  • Multi-View Learning
  • Opinion Characterization
  • Social Sensing
  • Twitter

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems and Management

Fingerprint

Dive into the research topics of 'On Opinion Characterization in Social Sensing: A Multi-view Subspace Learning Approach'. Together they form a unique fingerprint.

Cite this