Abstract: Sentiment scores for a first set of text can be normalized based on a statistical measure of sentiment of a corpus of text authored by a set of authors having respective personality profiles similar to a personality profile of an author of the first set of text. The set of authors can be grouped in a first cluster based on a range of at least one metric of a personality profile. A plurality of respective sentiment scores for portions of the corpus can be generated for the first cluster. A statistical measure of the plurality of respective sentiment scores can be generated. The plurality of respective sentiment scores can be normalized based on the statistical measure. The plurality of respective normalized sentiment scores can be applied to the first set of text to generate one or more sentiment scores for the first set of text.

Abstract: Embodiments relate to a system, program product, and method for use with an intelligent computer platform to decipher analogical phrases. A phrase is compared to an analogy classifier database in order to identify a match between the analogical pattern and an analogy entry. If a match is identified, generating an idiomatic structure from the analogical pattern. An analysis is then applied whereby the analysis includes building a set of outcomes of the generated idiomatic structure based on semantic analysis into corresponding metadata for the idiomatic structure. An ontological database is searched for evidence of a pattern associated with the set of outcomes and each entry in the outcome set is scored according to a weighted calculation from the ontological database based on congruence with the pattern. An entry from the outcome set is selected based on the scoring and is represented as a meaning of the analogical pattern.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to podcasting and provide a method, system and computer program product for speed podcasting. In an embodiment of the invention, a speed podcasting method can include speech recognizing an audio portion of a podcast, parsing the speech recognized audio portion to identify essential words, and playing back only audio segments and corresponding video segments of the podcast including the essential words while excluding from playback audio segments and corresponding video segments of the podcast including non-essential words.

Abstract: An approach is provided to identify permanence data corresponding to terms included in a corpus of a question answering (QA) system. Based on the identified permanence, a time-based confidence of each of the terms is established. Terms are identified as a plurality of candidate answers to a question posed to the QA system. Each of the plurality of candidate answers are scored with the scoring being at least partially based on the time-based confidence established for each of the terms.

Abstract: Embodiments relate to an intelligent computer platform to provide a contextual analogy response. The aspect of providing a contextual analogy response includes receiving a communication that includes an analogy. The analogy within the communication is identified and parsed into grammatical components. The grammatical components are utilized to identify a meaning of the analogy that correlates to a response statement. The grammatical structure of the analogy is analyzed and then utilized together with the grammatical components to construct an analogy representation. A response is communicated as output including both the response statement together with the analogy representation.

Abstract: Minimizing data security risks may be provided. A number and type of confidential data in a computing environment may be determined to generate a metric for the type of confidential data in the computing environment. The metric of the type of confidential data may be compared to a predetermined metric for the type. Responsive to determining the metric for the type of confidential data exceeding a predetermined metric for the type, an action may be performed to prevent more entries of the type of confidential data in the computing environment.

Abstract: An approach is described for adjusting prominence of a participant profile in a social networking interface. An associated system may include a processor and a memory storing an application program, which, when executed on the processor, performs an operation that may include receiving an activity stream update of the participant and calculating a relevancy score based on content in the activity stream update. The operation further may include adjusting a visibility level of the participant profile in the social networking interface based upon the calculated relevancy score. Adjusting the visibility level may include increasing the visibility level of the participant profile upon determining that the calculated relevancy score is greater than or equal to a first predefined threshold value. Adjusting the visibility level further may include decreasing the visibility level of the participant profile upon determining that the calculated relevancy score is less than a second predefined threshold value.

Abstract: Embodiments relate to an intelligent computer platform to provide a contextual analogy response. The aspect of providing a contextual analogy response includes receiving a communication that includes an analogy. The analogy within the communication is identified and parsed into grammatical components. The grammatical components are utilized to identify a meaning of the analogy that correlates to a response statement. The grammatical structure of the analogy is analyzed and then utilized together with the grammatical components to construct an analogy representation. A response is communicated as output including both the response statement together with the analogy representation.

Abstract: Performing an operation comprising determining that a parse of an input string comprising a plurality of tokens is incomplete, generating, based on a machine learning (ML) model: (i) a plurality of candidate addition tokens for adding to the input string, and (ii) a plurality of candidate removal tokens for removing from the input string, selecting, from the plurality of candidate addition tokens and the plurality of candidate removal tokens, a first candidate token, and modifying the input string based on the first candidate token to facilitate a complete parse of the modified input string by a parser.

Abstract: Mechanisms for evaluating an evidential statement in a corpus of evidence are provided. An evidential statement is received for determining a level of confidence in a hypothetical ontological link of an ontology. A source of the evidential statement is identified and a grading of the source of the evidential statement is determined based on a source grading measurement value indicative of a degree of reliability and credibility of the source. An indication of trustworthiness of the evidential statement is generated based on the source grading measurement value. A representation of the indication of trustworthiness of the evidential statement is output in association with the evidential statement.

Abstract: A method is provided for analyzing log message content. The computer-implemented method may include detecting, by at least one processor, log messages in an application code, identifying a log level assigned to each of the log messages, and performing natural language processing (NLP) analysis on each of the log messages by using at least keyword and synonym matching percentage analysis criteria. The computer-implemented method may further include determining, in response to the NLP analysis, a severity score of each of the log messages, and reclassifying, based on the severity score, the assigned log level of one or more of the log messages to a different log level.

Abstract: Sentiment scores for a first set of text can be normalized based on a statistical measure of sentiment of a corpus of text authored by a set of authors having respective personality profiles similar to a personality profile of an author of the first set of text. The set of authors can be grouped in a first cluster based on a range of at least one metric of a personality profile. A plurality of respective sentiment scores for portions of the corpus can be generated for the first cluster. A statistical measure of the plurality of respective sentiment scores can be generated. The plurality of respective sentiment scores can be normalized based on the statistical measure. The plurality of respective normalized sentiment scores can be applied to the first set of text to generate one or more sentiment scores for the first set of text.

Abstract: Software that performs the following operations: (i) receiving descriptive information associated with a domain expert; (ii) receiving a question and a corresponding candidate answer for the question; (iii) determining a set of scoring features to be used to evaluate the candidate answer, wherein the set of scoring features includes: at least one scoring feature pertaining to the question, at least one scoring feature pertaining to the candidate answer, and at least one scoring feature pertaining to the descriptive information; (iv) receiving a score from the domain expert, wherein the score is based, at least in part, on the domain expert's evaluation of the candidate answer; (v) generating a feature vector based on the set of scoring features; (vi) cross-correlating the feature vector with the score; and (vii) clustering the domain expert with one or more other domain experts according to the cross-correlation, thereby creating a first cluster.

Abstract: Mechanisms are provided for performing entity differentiation. A cognitive medical system ingests a corpus of medical content having references to medical entities, and performs entity recognition on the medical content to identify the medical entities. Responsive to the cognitive medical system identifying a medical entity having a plurality of annotations for a same medical entity attribute, an entity differentiation component executes an ordered set of entity differentiation algorithms, corresponding to the medical entity, for differentiating medical entity attribute values. The entity differentiation component runs the ordered set of entity differentiation algorithms, in order, on the plurality of annotations for the attribute to generate a ranked list of medical entity attribute values corresponding to the annotations in the plurality of annotations. The cognitive medical system performs a cognitive operation on the medical entity based on the ranked list of medical entity attribute values.

Abstract: A system for a mobile device includes at least one processor operatively connected to a computer readable storage medium in the at least one processor is programmed to receive a request for personal data. The request contains a plurality of input fields. The at least one processor identifies a list of applications to provide personal data based on the plurality of input fields and a user-defined security constraint. The at least one processor outputs for display the list of applications.

Abstract: An approach is provided in which a knowledge manager identifies document command statements in a document that correspond to requests included in the document. The knowledge manager compares the document command statements against promise structures corresponding to promises included in valid documents and generates a suspicion score based on the analysis. In turn, the knowledge manager generates a suspicious document notification corresponding to the document when the suspicion score reaches a suspicion threshold.

Abstract: An approach is provided in which a knowledge manager identifies document command statements in a document that correspond to requests included in the document. The knowledge manager compares the document command statements against promise structures corresponding to promises included in valid documents and generates a suspicion score based on the analysis. In turn, the knowledge manager generates a suspicious document notification corresponding to the document when the suspicion score reaches a suspicion threshold.

Abstract: An object of an in-memory object model created from markup language syntax is identified. The in-memory object model includes an element value that includes both a prefix part and a local value part. A determination is made that the element value, that includes both the prefix part and the local value part, does not have a corresponding data type definition within a schema specification used to define data types within the markup language syntax. A namespace resolver service is invoked using at least the prefix part of the element value. A valid namespace declaration of the prefix part is received from the namespace resolver service. The valid namespace declaration is associated with the prefix part as a namespace definition for the local value part of the element value.

Abstract: Mechanisms, in a natural language processing (NLP) system comprising a processor and a memory are provided. The NLP system receives a plurality of communications from a plurality of devices associated with audience members of a real-time presentation by a presenter of the presentation while the presentation is being presented. The NLP system analyzes the plurality of communications using natural language processing techniques, to identify attributes of the audience members and generates an aggregate audience model based on the identified attributes of the audience members. The aggregate audience model specifies an aggregate of attributes of the audience. Moreover, the NLP system outputs, to the presenter via a device associated with the presenter, a suggestion output identifying one or more portions of the presentation that are currently of interest to the audience members based on the aggregate audience model.

Abstract: An object of an in-memory object model created from markup language syntax is identified. The in-memory object model includes an element value that includes both a prefix part and a local value part. A determination is made that the element value, that includes both the prefix part and the local value part, does not have a corresponding data type definition within a schema specification used to define data types within the markup language syntax. A namespace resolver service is invoked using at least the prefix part of the element value. A valid namespace declaration of the prefix part is received from the namespace resolver service. The valid namespace declaration is associated with the prefix part as a namespace definition for the local value part of the element value.