Abstract: A device for locating words and/or phrases in a requirement statement that cause confusion can include one or more memory devices including data defining words and/or phrases and corresponding, respective deductions for each of the words and/or phrases and processing circuitry to: receive the requirement statement that specifies requirements for a product or service, determine a count of each of the words and/or phrases that are in the requirement statement and the one or more memory devices and a location of the words and/or phrases in the requirement statement, determine a score for the requirement statement based on a maximum allowable score in the one or more memory devices, the determined count, and the deductions, and generate a report indicating the score and the location of the words and/or phrases that reduced the maximum allowable score, the score indicating the quality of the requirement document.

Abstract: A device for locating words and/or phrases in a requirement statement that cause confusion can include one or more memory devices including data defining words and/or phrases and corresponding, respective deductions for each of the words and/or phrases and processing circuitry to: receive the requirement statement that specifies requirements for a product or service, determine a count of each of the words and/or phrases that are in the requirement statement and the one or more memory devices and a location of the words and/or phrases in the requirement statement, determine a score for the requirement statement based on a maximum allowable score in the one or more memory devices, the determined count, and the deductions, and generate a report indicating the score and the location of the words and/or phrases that reduced the maximum allowable score, the score indicating the quality of the requirement document.

Abstract: Generally discussed herein are systems, devices, and methods for unstructured text analysis. A method can include deconstructing structured data to create unstructured text, creating a first word cloud using the unstructured text, creating a query based on the first word cloud, receiving data corresponding to contents of a specified number of records determined to include data most similar to the first word cloud in a database of records, creating a second word cloud for each of the specified number of records using the data from the specified number of records, determining similarity values indicating how similar the first word cloud is to each of the second word clouds, and providing a similarity indicator for each record of the specified number of records to a user interface, the similarity indicator representing a relative magnitude of the determined similarity values of the specified number of records.

Abstract: Generally discussed herein are systems, devices, and methods for unstructured text analysis. A method can include deconstructing structured data to create unstructured text, creating a first word cloud using the unstructured text, creating a query based on the first word cloud, receiving data corresponding to contents of a specified number of records determined to include data most similar to the first word cloud in a database of records, creating a second word cloud for each of the specified number of records using the data from the specified number of records, determining similarity values indicating how similar the first word cloud is to each of the second word clouds, and providing a similarity indicator for each record of the specified number of records to a user interface, the similarity indicator representing a relative magnitude of the determined similarity values of the specified number of records.