By design, LIWC counts words from a sample of text and divides the words into categories, and then outputs measures based on the percentage of words in each category.

The Receptiviti API consists of measures that come from LIWC, as well as measures from our frameworks, which have algorithms built on top of the measures. Frameworks are groups of measures designed to capture specific phenomena related to the psychology of a person derived through their use of language. For example, the Big 5 Personality framework uses a combination of LIWC measures that are designed to measure extraversion, (among others), and the combination of measures that make up the category of extraversion has a specific weight that affects the outcome of the score.

The reason why these measures are divided into frameworks is to help users be able to break down scores and have a better sense of knowing where to look when they want to target a certain type of emotion or signal within a person’s psychology. Having nearly 200 measures to evaluate from an API call can be overwheling and present challenges in analysis, and so the frameworks provide a more targeted and focused experience when it comes to analyzing the API response.

To sum up: Receptiviti frameworks are methodically organized groups of LIWC measures with additional algorithms built on top of the measures, specifically designed to gain insight into a person’s psychology. Each framework does a different job of trying to reveal varying degrees of psychological states.

Note: Some of the frameworks share measures, as it makes sense to do so based on the psychological structure of certain frameworks.

Click any of the frameworks below to learn about how they work and what you can do with them: