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iPoll: Automatic polling using online search

Version 2 2024-06-02, 00:13
Version 1 2015-04-20, 14:33
conference contribution
posted on 2024-06-02, 00:13 authored by Thin NguyenThin Nguyen, D Phung, Wei LuoWei Luo, Truyen TranTruyen Tran, Svetha VenkateshSvetha Venkatesh
For years, opinion polls rely on data collected through telephone or person-to-person surveys. The process is costly, inconvenient, and slow. Recently online search data has emerged as potential proxies for the survey data. However considerable human involvement is still needed for the selection of search indices, a task that requires knowledge of both the target issue and how search terms are used by the online community. The robustness of such manually selected search indices can be questionable. In this paper, we propose an automatic polling system through a novel application of machine learning. In this system, the needs for examining, comparing, and selecting search indices have been eliminated through automatic generation of candidate search indices and intelligent combination of the indices. The results include a publicly accessible web application that provides real-time, robust, and accurate measurements of public opinions on several subjects of general interest.

History

Volume

8786

Chapter number

21

Pagination

266-275

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783319117485

Language

eng

Notes

keywords: web search; information extraction; opinion polls

Publication classification

B1 Book chapter, B Book chapter

Copyright notice

2014, Springer

Extent

40

Editor/Contributor(s)

Benatallah B, Bestavros A, Manolopoulos Y, Vakali A, Zhang Y

Title of proceedings

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publisher

Springer

Place of publication

Berlin, Germany

Title of book

Web Information Systems Engineering – WISE 2014

Series

Lecture Notes in Computer Science

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