A system and method dynamically analyze documents to determine relevancy of a document relatively quickly and efficiently. Potentially relevant documents can be determined using a search string and then converted into corresponding document data structures for analysis. Keywords can be used to identify documents of interest from the document data structures. Tools are provided to assess the relevancy of documents, including tools to determine the frequency of keywords in the documents, to compare documents, and to contrast documents. Algorithms are provided that use prior searches to determine sets of relevant documents. Adaptive search methods are provided that refine searching during analysis to reduce a number of documents that are not sufficiently relevant. A dynamic relevancy matrix can be generated that provides access to keyword frequency and associated keyword frequency for a plurality of documents.

A system and method for multivariate testing of messages to a subgroup in a one-to-many messaging platform. A client text message is generated for transmission to a number of users via one or more messaging services. A subset of users is defined according to one or more attributes of the text message or the users, and the client text message is transmitted only to users in the subgroup. The transmission is analyzed for performance metrics, such as actions or reactions by users in the subgroup, and based on the performance metrics, the message is optimized for transmission to the larger group of users. Optimization happens rapidly.

The disclosure herein describes providing responses to natural language queries associated with transcripts at least by searching multiple indexes. A transcript associated with a communication among a plurality of speakers is obtained, wherein sets of artifact sections are identified in the transcript. A set of section indexes is generated from the transcript based on artifact type definitions. A natural language query associated with the transcript is analyzed using a natural language model and query metadata of the analyzed natural language query is obtained. At least one section index of the set of section indexes is selected based on the obtained query metadata and that selected at least one section index is searched. A response to the natural language query is provided including result data from the searched at least one search index, wherein the result data includes a reference to an artifact section referenced by the searched section index(es).

A system and method for speech file processing which provides users with differentially selectable speech file transcripts which can be sent to one or more other users. The speech files may be voicemail messages from which respective voicemail transcripts are created. The voicemail transcripts are provided in a user selectable format from which users may select non-contiguous portions of the transcript.

Methods, systems and computer program products for resolving multiple magnitudes assigned to a target vector are disclosed. A target vector that includes one or more target vector dimensions is received. One of the target vector dimensions is processed to determine a total number of magnitudes assigned to the processed target vector dimension. Also, a source vector that includes one or more source vector dimensions is received. The received source vector is processed to determine a total number of features associated with the source vector. When it is detected that the total number of magnitudes assigned to the processed target vector dimension exceeds one, one of the assigned magnitudes is selected based on one of the determined features associated with the source vector.

A method for searching encrypted data includes identifying, with a client, a plurality of values within a predetermined search range in a search index stored within a memory of the client, each value in the plurality of values being present in a plaintext representation of at least one encrypted file in a plurality of encrypted files stored in a server. The method further includes generating and transmitting at least one search query to the server through a data network, and receiving, with the client, at least one response from the server through the data network, the response including the encrypted keyword corresponding to the value in the plurality of values and an identifier of at least one file in the plurality of encrypted files stored on the server that includes the value.

A method of extracting mathematical concepts from mathematical exercise representations includes the steps of accessing at least one document including a plurality of mathematical exercise representations, wherein each mathematical exercise representation comprises one or more algorithmic, linguistic, geometric, and graphic mathematical exercise representations; extracting each mathematical exercise representation to identify one or more mathematical concepts; identifying a relationship between a first mathematical concept and a second mathematical concept to identify a plurality of concept groups; populate an optimization table to associate at least one of the mathematical concepts and concept groups with one or more of the plurality of mathematical exercise representations; and optimize the optimization table to remove redundancies.

An ontology is automatically generated for a set of data from multiple data sources. A semantic network of known concepts serves as an ontology template for a target domain of knowledge with known concepts defined as base entity types. Logical groupings of data and associated technical metadata are read from the data sources. Data discovery techniques are applied to detect semantic and/or syntactic classification of data attributes in the logical groupings of data. For each of the logical groupings of data, an entity type with properties for the data attributes are generated and the generated entity type is added to the semantic network with classifications of the properties as derived from the applied data discovery techniques. Semantic meanings of the generated entity types are generated and associated with other entity types within the semantic network and the semantic network is output as a resultant ontology for the set of data.

A system includes storage of data of a hierarchy, where each node of the hierarchy is represented by a row, and each row includes a level of its respective node, a pointer to a lower bound entry of an order index structure associated with the hierarchy, and a pointer to an upper bound entry of the order index structure associated with the hierarchy, reception of a pointer l, and determination of an entry e of the order index structure to which the received pointer l points.

A computer program product, system, and method for determining a list of objects, within source storage, to migrate; generating a chunk layout for the objects to migrate; and for each unencoded chunk within the chunk layout: retrieving objects from source storage specified by the unencoded chunk within the chunk layout; generating data and coded fragments for the unencoded chunk using the retrieved objects; and storing the data and coded fragments to primary storage.