Analysing the Sentiment Expressed by Political Audiences on Twitter: The case of the 2017 UK General Election
Date
2017-12-14Author
Plummer, M
PALOMINO, MARCO
masala, giovanni
Subject
Information Retrieval Methods Social Networks Web Search and Information Extraction Predictive Analytics
Metadata
Show full item recordAbstract
A significant amount of research on the intersection of sentiment analysis and social media platforms has been published in the past few years. While previous studies have focused on methods to identify the polarity of online posts, little has been done in terms of using the impact of such posts to enhance the discovery and description of trends in real time. Here, we present a tool for the retrieval and analysis of microblogging posts in real time. We have gathered a large sample of tweets related to the 2017 UK General Election. We introduce a novel classification of the polarity of sentiments, considering the correlation between words, events and sentiments.
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Publisher
IEEE
Place of Publication
Las Vegas, NV
Journal
ISBN: 1-60132-469-3
Pagination
1449-1454
Conference name
4th Annual Conference on Computational Science & Computational Intelligence (CSCI'17)
Start date
2017-12-14
Finish date
2017-12-16
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