Reference Hub1
Utilizing Sentiments in Online Contextual Advertising

Utilizing Sentiments in Online Contextual Advertising

Copyright: © 2011 |Pages: 16
ISBN13: 9781609601898|ISBN10: 1609601890|EISBN13: 9781609601911
DOI: 10.4018/978-1-60960-189-8.ch003
Cite Chapter Cite Chapter

MLA

Siddiqui, Tanveer J. "Utilizing Sentiments in Online Contextual Advertising." Online Multimedia Advertising: Techniques and Technologies, edited by Xian-Sheng Hua, et al., IGI Global, 2011, pp. 32-47. https://doi.org/10.4018/978-1-60960-189-8.ch003

APA

Siddiqui, T. J. (2011). Utilizing Sentiments in Online Contextual Advertising. In X. Hua, T. Mei, & A. Hanjalic (Eds.), Online Multimedia Advertising: Techniques and Technologies (pp. 32-47). IGI Global. https://doi.org/10.4018/978-1-60960-189-8.ch003

Chicago

Siddiqui, Tanveer J. "Utilizing Sentiments in Online Contextual Advertising." In Online Multimedia Advertising: Techniques and Technologies, edited by Xian-Sheng Hua, Tao Mei, and Alan Hanjalic, 32-47. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-189-8.ch003

Export Reference

Mendeley
Favorite

Abstract

Ever increasing number of internet users has attracted many of the companies on the internet for promoting their product and services. This has led to the development of new age of advertising called online or web advertising. The objective of this chapter is two-fold. First, it introduces concepts involved in online advertising. Second, it proposes a novel conceptual framework for contextual online advertising which attempts to utilize local context and sentiment for identifying relevant ads. Contextual advertising is an important class of online advertising in which ads are displayed automatically on web pages based on their content. The proposed framework works in two stages. The first stage retrieves ads for placement. The second stage uses sentiment analysis to filter out ads that do not agree with the sentiments (positive or negative polarity) being expressed in the document. The polarity is identified using SentiWordNet and context-based heuristics.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.