The impact of political party/candidate on the election results from a sentiment analysis perspective using #AnambraDecides2017 tweets

This work investigates empirically the impact of political party control over its candidates or vice versa on winning an election using a natural language processing technique called sentiment analysis (SA). To do this, a set of 7430 tweets bearing or related to #AnambraDecides2017 was streamed duri...

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Veröffentlicht in:	Social network analysis and mining 2020-12, Vol.10 (1), p.55, Article 55
Hauptverfasser:	Onyenwe, Ikechukwu, Nwagbo, Samuel, Mbeledogu, Njideka, Onyedinma, Ebele
Format:	Artikel
Sprache:	eng
Schlagworte:	Actors Algorithms Applications of Graph Theory and Complex Networks Candidates Computer Science Data mining Data Mining and Knowledge Discovery Economics Election results Elections Game Theory Humanities Law Methodology of the Social Sciences Natural language processing Negative campaigning Original Article Political activism Political analysis Political parties Public policy Sales Sentiment analysis Social and Behav. Sciences Social networks State elections Statistics for Social Sciences Subjectivity Topics Voters Word frequency
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