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Content Provider | IET Digital Library |
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Author | Guo, W. Zhang, J. |
Abstract | Blackspots are areas of poor signal coverage or service delivery that leads to customer complaints and loss in business revenue. Understanding their spatial–temporal patterns at a high resolution is important for interventions. Conventional methods such as customer helplines, drive-by testing, and network analysis tools often lack the real-time capability and spatial accuracy required. The potential of utilising geo-tagged Twitter data to uncover blackspots is investigated. Lexicon and machine-learning natural language processing techniques are applied to over 1.4 million Tweets in London to uncover blackspots for both pre-4G (2012) and post-4G (2016) roll out. It was found that long-term poor signal complaints make up the majority of complaints (86%) pre-4G roll out, but short-term network failure was responsible for most complaints (66%) post-4G roll out. |
Starting Page | 814 |
Ending Page | 816 |
Page Count | 3 |
ISSN | 00135194 |
Volume Number | 53 |
e-ISSN | 1350911X |
Issue Number | Issue 12, Jun (2017) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/53/12 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2017.0409 |
Journal | Electronics Letters |
Publisher Date | 2017-05-05 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | 4G Mobile Communication Communication Computing Document Processing Technique Geo-tagged Twitter Data Information Network Knowledge Engineering Technique Learning in AI Lexicon Technique London Long-term Poor-signal Complaints Machine-learning Natural Language Processing Technique Mobile Radio System Natural Language Processing Post4G Roll Out Pre4G Roll Out Short-term Network Failure Social Networking (online) Spatial–temporal Patterns Text Analysis Tweets Wireless Blackspots |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering |
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