![]() For a more detailed description please see the word embedding tutorial The example data that will be used in this tutorial comes from participants that have described their harmony in life and satisfaction with life with a text response, 10 descriptive words or rating scales. ![]() The textEmbed() function automatically transforms character variables in a given tibble to word embeddings. These word embeddings are then used to, for example, predict numerical variables, compute semantic similarity scores, statistically test difference in meaning between two sets of texts and plot words in the word embedding space. In short the workflow includes to first transform text variables into word embeddings. The data and methods come from the Kjell et al., 2019 ( pre-print), which show how individuals’ open-ended text answers can be used to measure, describe and differentiate psychological constructs. The text-package uses natural language processing and machine learning methods to examine text and numerical variables.Ĭentral text functions are described below.
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