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Title: How Are We Doing? Opinion Mining Customer Sentiment in US Transit Agencies and Airlines via Twitter
Accession Number: 01372724
Record Type: Component
Abstract: This manuscript examines the unsolicited comments on the social media site Twitter using a simple opinion mining method. The data are scored using a commonly available, experimentally tested lexicon of words associated with both positive and negative experiences. Analysis of the scoring performance finds that even though the analysis uses a simple algorithm, the algorithm performs fairly well in clustering similar services, recognizing non-opinions, and marking both strongly positive and strongly negative assessments. Among transit agencies, Translink in Vancouver and TriMet in Portland have the least negative commentary in their feeds. Alaska Airlines and Southwest were the airlines with the most positive comments appearing on Twitter.
Supplemental Notes: This paper was sponsored by TRB committee ADA60 Public Involvement in Transportation
Monograph Title: Monograph Accession #: 01362476
Report/Paper Numbers: 12-2659
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Schweitzer, LisaPagination: 16p
Publication Date: 2012
Conference:
Transportation Research Board 91st Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Identifier Terms: Subject Areas: Aviation; Data and Information Technology; Passenger Transportation; Planning and Forecasting; Public Transportation; Society; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2012 Paper #12-2659
Files: TRIS, TRB
Created Date: Feb 8 2012 5:11PM
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