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Quantum Criticism: A Tagged News Corpus Analysed for Sentiment and Named Entities

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arxiv 2006.05267 v1 pith:7VOV2GQX submitted 2020-06-05 cs.CY cs.LGstat.ML

Ashwini Badgujar , Sheng Chen , Andrew Wang , Kai Yu , Paul Intrevado , David Guy Brizan This is my paper
classification cs.CYcs.LGstat.ML
keywords newscorpusdatanamedsentimenttaggedanalysedanalysis
verification ladder T0 review T1 audit T2 compute T3 formal
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In this research, we continuously collect data from the RSS feeds of traditional news sources. We apply several pre-trained implementations of named entity recognition (NER) tools, quantifying the success of each implementation. We also perform sentiment analysis of each news article at the document, paragraph and sentence level, with the goal of creating a corpus of tagged news articles that is made available to the public through a web interface. Finally, we show how the data in this corpus could be used to identify bias in news reporting.

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