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Sentiment Analysis of the Presidential US Election 2016

This project entails a web-based interactive set of visualisations generated from advanced sentiment analysis over the US presidential elections 2016 from live social media (Twitter) data.

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Bibliographic Details
Main Authors:	Martin Sykora, Thomas Jackson, Suzanne Elayan
Format:	Data Data
Published:	2016
Subjects:	Natural language processing Pattern recognition Data mining and knowledge discovery Information retrieval and web search Distributed computing and systems software not elsewhere classified Social and community informatics politics twitter social media analytics sentiment analysis Information Retrieval and Web Search Natural Language Processing Pattern Recognition and Data Mining Social and Community Informatics Web Technologies (excl. Web Search)
Online Access:	https://dx.doi.org/10.17028/rd.lboro.4040589.v1
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