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A Scalable Framework for Customer Sentiment Analysis in the Telecommunication Industry
dc.creator | Skoularikis K., Savvas I.K., Garani G., Kakarontzas G. | en |
dc.date.accessioned | 2023-01-31T09:57:48Z | |
dc.date.available | 2023-01-31T09:57:48Z | |
dc.date.issued | 2021 | |
dc.identifier | 10.1109/TELFOR52709.2021.9653423 | |
dc.identifier.isbn | 9781665425841 | |
dc.identifier.uri | http://hdl.handle.net/11615/79104 | |
dc.description.abstract | Big Data explosion is a phenomenon of the 21st century. Nowadays, more and more people are using the internet and creating new data regarding ideas, opinions, feelings or their views on a variety of topics and products. The micro-blogging platform Twitter is very popular and produces massive amount of data every fraction of a second and useful information may be generated from them. Sentiment analysis or opinion mining plays a major role in discovering all this information by analyzing these data and gain better insight of the public opinion on any subject in specific. In this paper a framework is proposed, built on top of the Hadoop ecosystem, for analyzing data from Twitter using a domain-specific Lexicon (in Greek). © 2021 IEEE. | en |
dc.language.iso | en | en |
dc.source | 2021 29th Telecommunications Forum, TELFOR 2021 - Proceedings | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124586930&doi=10.1109%2fTELFOR52709.2021.9653423&partnerID=40&md5=f65d1690bc9fce5c259c2c8904abf4e4 | |
dc.subject | Sentiment analysis | en |
dc.subject | Social aspects | en |
dc.subject | Social networking (online) | en |
dc.subject | Telecommunication industry | en |
dc.subject | Apache flume | en |
dc.subject | Data explosion | en |
dc.subject | Domain specific | en |
dc.subject | Hadoop | en |
dc.subject | Map-reduce | en |
dc.subject | Micro-blogging platforms | en |
dc.subject | Public opinions | en |
dc.subject | Sentiment analysis | en |
dc.subject | Sentiment lexicons | en |
dc.subject | Telecommunications industry | en |
dc.subject | MapReduce | en |
dc.subject | Institute of Electrical and Electronics Engineers Inc. | en |
dc.title | A Scalable Framework for Customer Sentiment Analysis in the Telecommunication Industry | en |
dc.type | conferenceItem | en |
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