Skip to main navigation Skip to search Skip to main content

Attribute-based sentiment analysis in marketing: Application and strategic implications

  • Oklahoma State University

Research output: Contribution to journalArticlepeer-review

Abstract

Increasingly, customers use social media and other Internet-based applications (e.g., review sites) to voice their opinions and to express their sentiments about brands. These reviews influence brand identity, either directly (by affecting consumer behavior) or indirectly (by generating positive or negative word-of-mouth through online social networks). We present an automated methodology that can be used to collect data from popular brand review sites and discussion boards. Customer feedback is then analyzed using best-practices of text mining and supervised sentiment analysis. Strategic implications of customer sentiments are discussed as we explore the role of sentiment analysis on modification of branding strategy.
Original languageEnglish
Pages (from-to)311-318
Number of pages8
JournalModel Assisted Statistics and Applications
Volume13
Issue number4
DOIs
StatePublished - Jan 1 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Attribute-based sentiment analysis
  • Brand attributes
  • Brand management
  • Predictive modeling
  • Supervised sentiment analysis
  • Text mining

Cite this