Abstract: Methods and apparatus to identify an emotion evoked by media are disclosed. An example apparatus includes a synthesizer to generate a first synthesized sample based on a pre-verbal utterance associated with a first emotion. A feature extractor is to identify a first value of a first feature of the first synthesized sample. The feature extractor to identify a second value of the first feature of first media evoking an unknown emotion. A classification engine is to create a model based on the first feature. The model is to establish a relationship between the first value of the first feature and the first emotion. The classification engine is to identify the first media as evoking the first emotion when the model indicates that the second value corresponds to the first value.

Abstract: Methods and apparatus to identify an emotion evoked by media are disclosed. An example apparatus includes a synthesizer to generate a first synthesized sample based on a pre-verbal utterance associated with a first emotion. A feature extractor is to identify a first value of a first feature of the first synthesized sample. The feature extractor to identify a second value of the first feature of first media evoking an unknown emotion. A classification engine is to create a model based on the first feature. The model is to establish a relationship between the first value of the first feature and the first emotion. The classification engine is to identify the first media as evoking the first emotion when the model indicates that the second value corresponds to the first value.

Abstract: Provided are systems, methods, and devices for providing topical similarities in a knowledge database. A knowledge database containing a number of articles is accessed, and clickstream data for the knowledge database is obtained including aggregated counts of user clicks on links within articles in the knowledge database. The clickstream data is sorted by source article, with each source article corresponding to a number of target articles that the source article links to. A directed article graph is constructed based on the sorted clickstream data. An input search term is received from an input device, and then an unbounded graph search is performed on the directed graph based on the input search term. Finally, a ranking heuristic for a predefined number of articles in the knowledge database is provided corresponding to topical similarity of the articles to the input search term.

Abstract: Provided are systems, methods, and devices for providing word replaceability information through word vectors. Within a database system, a text document is received, then processed into a number of sub-sentences or sub-segments. The processing involved delimiting one or more sentences within the text document by one or more punctuation marks. Next, a number of n-gram combinations are generated according to co-appearances of n-grams within the sub-sentences. Distance metrics are determined between the n-gram co-appearances for each n-gram combination. Finally, word replaceability information is provided for one or more words or n-grams within the text document, based on the distance metric.

Abstract: Provided are systems, methods, and devices for extracting unconscious meaning from media corpora. One or more corpora are received from one or more media databases. A number of phrases are extracted from the corpora, and then disambiguated according to natural language processing methods. One or more criteria are then selected to be used for phrase analysis, and the phrases are then analyzed to extract unconscious meaning based on the one or more criteria. The phrase analysis involves machine learning or predictive analysis methods. The results of the phrase analysis are then provided to one or more client devices, with the results containing findings of unconscious meaning for the phrases.

Abstract: Provided are mechanisms and processes for more effectively monitoring infants to enhance caregiving and infant development. A system may include a wearable infant monitoring device, transmission interface, and monitoring hub. The wearable infant monitoring device includes sensors that detect activity and position of an infant. The transmission interface transmits measurement data associated with the activity and position of the infant. The monitoring hub receives the measurement data and includes a processor configured to determine the infant's receptivity to learning. Learning materials are then provided to a caregiver through a display interface based on the infant's receptivity to learning.

Abstract: Methods and apparatus to identify an emotion evoked by media are disclosed. An example apparatus includes a synthesizer to generate a first synthesized sample based on a pre-verbal utterance associated with a first emotion. A feature extractor is to identify a first value of a first feature of the first synthesized sample. The feature extractor to identify a second value of the first feature of first media evoking an unknown emotion. A classification engine is to create a model based on the first feature. The model is to establish a relationship between the first value of the first feature and the first emotion. The classification engine is to identify the first media as evoking the first emotion when the model indicates that the second value corresponds to the first value.

Abstract: Provided are systems, methods, and devices for providing topical similarities in a knowledge database. A knowledge database containing a number of articles is accessed, and clickstream data for the knowledge database is obtained including aggregated counts of user clicks on links within articles in the knowledge database. The clickstream data is sorted by source article, with each source article corresponding to a number of target articles that the source article links to. A directed article graph is constructed based on the sorted clickstream data. An input search term is received from an input device, and then an unbounded graph search is performed on the directed graph based on the input search term. Finally, a ranking heuristic for a predefined number of articles in the knowledge database is provided corresponding to topical similarity of the articles to the input search term.

Abstract: Provided are systems, methods, and devices for extracting unconscious meaning from media corpora. One or more corpora are received from one or more media databases. A number of phrases are extracted from the corpora, and then disambiguated according to natural language processing methods. One or more criteria are then selected to be used for phrase analysis, and the phrases are then analyzed to extract unconscious meaning based on the one or more criteria. The phrase analysis involves machine learning or predictive analysis methods. The results of the phrase analysis are then provided to one or more client devices, with the results containing findings of unconscious meaning for the phrases.

Abstract: Provided are systems, methods, and devices for providing word replaceability information through word vectors. Within a database system, a text document is received, then processed into a number of sub-sentences or sub-segments. The processing involved delimiting one or more sentences within the text document by one or more punctuation marks. Next, a number of n-gram combinations are generated according to co-appearances of n-grams within the sub-sentences. Distance metrics are determined between the n-gram co-appearances for each n-gram combination. Finally, word replaceability information is provided for one or more words or n-grams within the text document, based on the distance metric.

Abstract: Provided are mechanisms and processes for more effectively monitoring infants to enhance caregiving and infant development. A system may include an infant monitoring device and a monitoring hub. The infant monitoring device includes sensors that gather measurement data. The monitoring hub receives the measurement data and analyzes the measurement data in relation to a learning receptivity model obtained from a remote platform. The measurement data is analyzed to predict a time and duration when an infant associated with the infant monitoring device will be receptive to learning.

Abstract: Provided are mechanisms and processes for more effectively monitoring pets to enhance caregiving and pet development. In one example, a system includes a pet monitoring device having a plurality of sensors that gather measurement data, such as motion and arousal, from a pet. The system also includes a monitoring hub that receives the measurement data from the pet monitoring device and analyzes the measurement data in relation to a learning receptivity model obtained from a remote platform. The measurement data is analyzed to predict a time and duration when a pet associated with the pet monitoring device will be receptive to learning.

Abstract: Provided are mechanisms and processes for more effectively monitoring pets to enhance caregiving and pet development. In one example, a system includes a pet monitoring device having a plurality of sensors that gather measurement data, such as motion and arousal, from a pet. The system also includes a monitoring hub that receives the measurement data from the pet monitoring device and analyzes the measurement data in relation to a learning receptivity model obtained from a remote platform. The measurement data is analyzed to predict a time and duration when a pet associated with the pet monitoring device will be receptive to learning.

Abstract: Provided are mechanisms and processes for more effectively monitoring infants to enhance caregiving and infant development. A system may include a wearable infant monitoring device, transmission interface, and monitoring hub. The wearable infant monitoring device includes sensors that detect activity and position of an infant. The transmission interface transmits measurement data associated with the activity and position of the infant. The monitoring hub receives the measurement data and includes a processor configured to determine the infant's receptivity to learning. Learning materials are then provided to a caregiver through a display interface based on the infant's receptivity to learning.

Abstract: Methods and apparatus to identify an emotion evoked by media are disclosed. An example apparatus includes a synthesizer to generate a first synthesized sample based on a pre-verbal utterance associated with a first emotion. A feature extractor is to identify a first value of a first feature of the first synthesized sample. The feature extractor to identify a second value of the first feature of first media evoking an unknown emotion. A classification engine is to create a model based on the first feature. The model is to establish a relationship between the first value of the first feature and the first emotion. The classification engine is to identify the first media as evoking the first emotion when the model indicates that the second value corresponds to the first value.

Abstract: Methods and apparatus to identify a mood of media are disclosed. An example method includes accessing a known audio known to evoke a first emotion. A first synthesized sample is synthesized based on the known audio sample. A first value of a first feature of the first synthesized sample is calculated. A mood model is created based on the first feature. The mood model is to establish a relationship between the first feature and the first emotion. A second value of the first feature of first media evoking an unknown emotion is identified. The unknown emotion is identified as the first emotion when the mood model indicates that the second value corresponds to the first value.

Abstract: Provided are mechanisms and processes for more effectively monitoring pets to enhance caregiving and pet development. In one example, a system includes a pet monitoring device having a plurality of sensors that gather measurement data, such as motion and arousal, from a pet. The system also includes a monitoring hub that receives the measurement data from the pet monitoring device and analyzes the measurement data in relation to a learning receptivity model obtained from a remote platform. The measurement data is analyzed to predict a time and duration when a pet associated with the pet monitoring device will be receptive to learning.

Abstract: Provided are mechanisms and processes for a more effectively monitoring infants to enhance caregiving and infant development. A system may include a wearable infant monitoring device having multiple sensors, a transmission interface, and a wearable casing. The multiple sensors gather measurement data associated with activity of an infant. The transmission interface transmits the measurement data detected by the multiple of sensors to a remote monitoring hub. A wearable casing is configured to house the plurality of sensors and transmission interface. The wearable casing and the multiple sensors include mechanisms to determine whether the infant is prone or supine.

Abstract: Provided are mechanisms and processes for an infant data aggregation system. The system includes a platform interface and a platform processor. A platform interface is configured to receive measurement data from multiple infant monitoring systems, each of the multiple infant monitoring systems including an infant monitoring device and an infant monitoring hub. Each of the plurality of infant monitoring systems is associated with a corresponding infant. A platform processor is configured to remove personally identifiable information associated with the inferences received in order to generate infant de-identified inferences and analyze the inferences received from the plurality of infant monitoring systems in order to generate a dynamic model reflecting infant trends relating to the inference for infants of different ages. The dynamic model is viewable by users associated with infant monitoring systems.

Abstract: Provided are mechanisms and processes for providing customized learning content for an infant based on parental preferences. In one example, a system includes an infant monitoring device and a monitoring hub. The infant monitoring device includes sensors that gather measurement data associated with the infant. The monitoring hub receives the measurement data and analyzes the measurement data to determine a developmental age for the infant. The monitoring hub also receives user input for a first preference related to learning content for the infant. Based on the developmental age associated with the infant and the first preference, a first module of learning content is selected. The first module of learning content is presented via a display associated with the monitoring hub.