Dw Associates, LLC

Other

Warren L Wolf

Manu Rehani

A system can receive content. The content can be analyzed to determine the invested interest of an object in a network, and to determine the strength of a relationship in the network, the network pertaining to a particular setting. The network can then be graphed, and the information produced can be output for later use.

Real-time autonomous organization

A content is divided into tokens. Tokens can represent sounds, symbols, letters, words, sentences, paragraphs, or documents, among other possibilities. Probable measures of meaning (PMMs) are determined for each token. Given a target token, a proximity function for other tokens can be calculated, which in turn can be used to modify the PMMs for the other tokens. These modified PMMs for the other tokens can then be used in conjunction with the PMM for the target token to generate a relative measure of meaning (RMM) for the target token.

Methods and systems for measuring semantics in communications

A system can receive text. The text can be divided into various portions. One or more significance indicators can be associated with each portion of text: these significance indicators can also be received by the system. The system can then display a portion of text and the associated significance indicators to the user.

Format for displaying text analytics results

Words can be identified in text. Membership numerical values for the words can be determined in categories, or in communication types generated using those categories. The membership numerical values for the words can then be used to generate a signature. The signature can then be used to identify documents with a similar attitude.

Taxonomy and application of language analysis and processing

An enactive perception device includes the ability to receive information. The information received can be either sensory information or other data. The received information can then be converted into sensory information, which can then be provided to the user.

Enactive perception device

A method and system for optimizing the level of engagement of components within a defined ecosystem or context includes defining an initial ecosystem or context 'A' in structural, functional, operational, and conceptual terms. One or more components are identified in the defined ecosystem or context 'A'. It is determined whether all identified components account for all of the structural, functional, operational, and conceptual terms of the initial ecosystem or context &#x2018;A&#x2019;. If so, levels of disengagement and engagement are quantified for each of the identified components. For each of the identified components, one or more gaps are measured between a current component engagement level and a potential component engagement level. A report associated with the one or more identified components and the one or more measured gaps is produced and output. The report includes an organizational structure of the one or more components within a new ecosystem or context &#x2018;B&#x2019;.

Methods and systems for identifying, quantifying, analyzing, and optimizing the level of engagement of components within a defined ecosystem or context

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Austin, TX, United States of America

Warren L Wolf