An Illustration of Semantic Fingerprinting: What’s in a Word (of the Year)?
摘要
Semantic fingerprinting − a product of the Semantic Folding Theory − is based on the premise that human-like (artificial) intelligence can be developed by emulating only two essential faculties: making analogies and making predictions based on previous experiences. In this way, a word gains meaning through the collection of concepts it is mostly associated with: its so-called “semantic fingerprint". This paper illustrates the potential of semantic fingerprinting as a method for quantifying text data in ways that support interdisciplinary research, bridging linguistics with social and economic inquiry. As a small sample demonstration of the technique, semantic fingerprinting is used to explore the associations of emotions with the Word of the Year, chosen to reflect the “spirit of the age" according to the Dictionary.com, since 2010. Significant correlations between the emotion content of the Words of the Year and happiness indicators, suggest years with low subjective well-being are high in emotion content and raise questions about the relationship between overall happiness and economic factors.