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Terminology in v5

Last Updated: Apr 13, 2018

Here are the definitions of key terms in Luminoso Analytics v5.

Document: A document is a row in the .csv file that you upload to Analytics. Also referred to as a verbatim. Source documents contain the natural-language text from product reviews, chat logs, customer service call transcriptions, open-ended survey responses, support emails, etc.


Project: The basic unit of analysis in Luminoso Analytics. A project is built out of a set of documents; the documents and metrics in one project have no influence on or connection to other projects.

Metadata: Documents can contain all sorts of categorical, numeric, or date metadata.  For example, a categorical metadata field such as "State" might include values such as "MA," "RI," "CT," etc.  A numeric field such as "Age" might include values such as "29" or "54."  A date metadata field such as "Review date" might include values such as "05/31/2017." 

Filter: Documents can be filtered by metadata field to further drill down into the data.  For example, one might create a filter out of "State": "MA" or "RI" and "Age": "45-65" to see only the documents from 45- to 65-year-olds from Massachusetts or Rhode Island.

Concept: A concept is a term or phrase that appears in your data set. It can be a single word or term, such as "amazing" or "smelly," or a phrase (also known as a "collocation"), such as "love my Kindle" or "not helpful.”

Exact Match: An exact match is a match between the concept you've searched for/are analyzing and any concept that is exactly the same. For instance, if you are analyzing the concept "app," searching for an exact match would return documents that include the concept "app," "App", "apps", etc., but not closely related concepts like "tablet" or "download.”

Conceptual Match: A conceptual match is a match between a term or phrase you've selected and another concept that it is closely related to, though not exactly, the same. For instance, if you are analyzing the concept "delicious," conceptual matches might include concepts like "yummy" and "tasty."

Association Score: An association score measures how strongly related two concepts are on a scale of -1.00 to 1.00. These are upper and lower limits that represent the weakest and the strongest possible relationships; a concept will have an association score of 1.00 with itself.  A score of 0 suggests that the two concepts are only as associated with one another in your project as one would expect them to be by random chance.  See the article "Association Scores" for more information.

Topic: A topic is a concept that has been saved for analysis. A topic can be a single concept, such as "amazing," or it can be extended to include multiple closely related concepts, such as "love," "recommend," and "great."  We recommend that topics include no more than four concepts, and that the concepts be closely or conceptually related for maximum analytical effectiveness.

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