NDLI: Twitter Mining in the Oil Business: A Sentiment Analysis Approach

Content Provider	IEEE Xplore Digital Library
Author	Aldahawi, H.A. Allen, S.M.
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Sci. & Inf., Cardiff Univ., Cardiff, UK (Aldahawi, H.A.; Allen, S.M.)
Abstract	Twitter has become a very popular communication tool among Internet users, allowing 500 millions of users to share opinions in 140 characters on different aspects of their life every day. Because of this, Twitter is a rich source of data for opinion mining and sentiment analysis that organisations can use to improve their interaction with stakeholders. In this paper, we analyse data collected from Twitter and investigate the variance that arises from using an automated sentiment analysis tool versus human classification. Our interest particularly, lies in understanding how users' motivation to post messages affects the quality of classification. The data set utilises Tweets originating from two of the world's leading oil companies, BP America and Saudi Aramco, and other users that follow and mention them, representing the West and Middle East respectively. Our results show that the two methods yield significantly different positive, natural and negative classifications depending on culture and the relationship of the poster to the two companies, calling into question the reliability of automated sentiment analysis tools for certain classes of users.
Starting Page	581
Ending Page	586
File Size	485731
Page Count	6
File Format	PDF
ISBN	9780769551142
DOI	10.1109/CGC.2013.101
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-30
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Accuracy Opinion Mining Companies Twitter Sentiment Analysis Reliability Standards
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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