Word Embeddings

Sunil Kumar ()

Chapter Chapter 15 in Python for Accounting and Finance, 2024, pp 243-248 from Springer

Abstract: Abstract In recent years, there has been a significant increase in the amount of text data available for accounting research. This has led to a growing interest in using text analysis techniques to extract insights and patterns from large volumes of unstructured data. Word embeddings are a type of vector representation of words in a corpus that capture the semantic and syntactic relationships between them.

Date: 2024
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DOI: 10.1007/978-3-031-54680-8_15

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