Semantic Excel enables researchers to perform statistical analyses on texts. The online software comes with semantic representations, which is an ordered set of numbers that describes the semantic similarity between words or texts. The semantic representations can be used for many different analyses; for example to compute:

• semantic similarity scores (i.e., computing a score describing the semantic similarity between two words/texts),
• semantic t-tests (i.e., test if two sets of words/texts statistically differ in meaning),
• semantic-numeric correlations (i.e., examine the relationship between words/texts and a numeric variable),
• semantic predictions (i.e., using trained models to predict numerical values from words/texts),
• word figures (i.e., figures plotting words that differ according to selected dimensions; see examples below).