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Tracking the Evolution of Words with Time-reflective Text Representations
[article]
2019
arXiv
pre-print
More than 80% of today's data is unstructured in nature, and these unstructured datasets evolve over time. A large part of these datasets are text documents generated by media outlets, scholarly articles in digital libraries, findings from scientific and professional communities, and social media. Vector space models were developed to analyze text data using data mining and machine learning algorithms. While ample vector space models exist for text data, the evolutionary aspect of ever-changing
arXiv:1807.04441v2
fatcat:crq3gzy5wjf33m2ekkvpk6ruhu