Abstract: Systems including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations: determining web text sentiment scores for web texts; creating a ranked list of one or more match words; scoring the one or more match words in the ranked list; labeling, using a generative model, the one or more match words to create labeled training data; training, using the labeled training data, a word-based classifier to identify non-conforming web text; receiving first web text for display on the website; using the word-based classifier, as trained, to identify the first web text as non-conforming web text; and automatically not displaying the first web text on the website when at least the classifier score exceeds the predetermined threshold. Other embodiments are described.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: parsing one or more web texts; determining a respective web text sentiment score for each respective web text of the one or more web texts, as parsed; creating a ranked list of one or more match words in the one or more web texts; scoring the one or more match words in the ranked list of the one or more match words; creating a report covering a predetermined period of time using the one or more match words, as scored, in the ranked list; extracting one or more topics from the report covering the predetermined period of time; labeling the one or more match words to create labeled training data; and training a word-based classifier using the labeled training data to identify non-conforming web text submitted to a website for display, wherein the one or more web texts comprises the non-confirming web text.

Abstract: As described herein, a system, method, and computer program are provided for dynamic charge computation. In use, a change made to a subscription of a customer is detected, wherein the subscription is associated with a billing cycle. Further, responsive to detecting the change and prior to an end of the billing cycle, at least one charge is computed for the subscription.

Abstract: Features are disclosed for managing multiple heterogeneously owned data stores (e.g., data sets, data lakes) and provisioning a framework for data consumers and data publishers. A computing device can obtain a plurality of data catalogs associated with the data stores. For example, the computing device may update a hybrid data catalog with information from the plurality of data catalogs. The computing device can further provide a portion of the plurality of data catalogs to a data consumer. The computing device may provide the portion of the plurality of data catalogs based on permissions provided by the data publisher. In response, the computing device can receive a request to access a data store associated with the plurality of data catalogs. The computing device can transmit the request to a corresponding data publisher and, based on a response by the data publisher, may modify the distinct access controls for the data store.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: parsing one or more web texts; determining a respective web text sentiment score for each respective web text of the one or more web texts, as parsed; creating a ranked list of one or more match words in the one or more web texts; scoring the one or more match words in the ranked list of the one or more match words; creating a report covering a predetermined period of time using the one or more match words, as scored, in the ranked list; extracting one or more topics from the report covering the predetermined period of time; labeling the one or more match words to create labeled training data; and training a word-based classifier using the labeled training data to identify non-conforming web text submitted to a website for display, wherein the one or more web texts comprises the non-confirming web text.

Abstract: Disclosed is a method of providing virtual volumes to at least one host. Physical drives are grouped. Data is mirrored within groups to create a RAID-1 protected virtual drive. Data is also mirrored from the first virtual drive on a second virtual drive to create a hot spare virtual drive to act as a replacement for the RAID-1 protected virtual drive.