Abstract: This disclosure relates generally to systems, methods, and computer readable media for providing improved insights and annotations to enhance recorded audio, video, and/or written transcriptions of testimony. For example, in some embodiments, a method is disclosed for correlating non-verbal cues recognized from an audio and/or video recording of testimony to the corresponding testimony transcript locations. In other embodiments, a method is disclosed for providing testimony-specific artificial intelligence-based insights and annotations to a testimony transcript, e.g., based on the use of machine learning, natural language processing, and/or other techniques. In still other embodiments, a method is disclosed for providing smart citations to a testimony transcript, e.g., which track the location of semantic constructs within the transcript over the course of various modifications being made to the transcript.

Abstract: This disclosure relates generally to systems, methods, and computer readable media for providing improved insights and annotations to enhance recorded audio, video, and/or written transcriptions of testimony. For example, in some embodiments, a method is disclosed for correlating non-verbal cues recognized from an audio and/or video recording of testimony to the corresponding testimony transcript locations. In other embodiments, a method is disclosed for providing testimony-specific artificial intelligence-based insights and annotations to a testimony transcript, e.g., based on the use of machine learning, natural language processing, and/or other techniques. In still other embodiments, a method is disclosed for providing smart citations to a testimony transcript, e.g., which track the location of semantic constructs within the transcript over the course of various modifications being made to the transcript.

Abstract: Systems, methods and computer-readable media are disclosed for capturing purchase information regarding purchased items of a consumer. Upon receiving an image of a receipt (a receipt image) regarding a list of purchased items, receipt text is generated. The receipt text is processed to identify the purchased items in the receipt image. Accordingly, an iteration is begun to iterate through the item blocks of the receipt text. An item block corresponds to a discrete item in the receipt text. The processing comprises extracting textual elements from the item block and matching the textual elements to a known product. Upon matching the textual elements to a known product, the consumer inventory associated with the consumer is updated with regard to the purchase of the known product.

Abstract: Systems and methods are disclosed for identifying active engagements with brands, determining mutual affinities among brands, and determining changes or trends in active engagements or mutual affinities. A base brand may be selected and all brands that have in common with the base brand at least one active participant may be presented as a mutual affinity. A mutual affinity may be used as a more accurate representation of how one brand relates to another brand. Active engagements and mutual affinities may be tracked over time to identify changes or trends.

Abstract: This disclosure relates generally to systems, methods, and computer readable media for providing improved insights and annotations to enhance recorded audio, video, and/or written transcriptions of testimony. For example, in some embodiments, a method is disclosed for correlating non-verbal cues recognized from an audio and/or video recording of testimony to the corresponding testimony transcript locations. In other embodiments, a method is disclosed for providing testimony-specific artificial intelligence-based insights and annotations to a testimony transcript, e.g., based on the use of machine learning, natural language processing, and/or other techniques. In still other embodiments, a method is disclosed for providing smart citations to a testimony transcript, e.g., which track the location of semantic constructs within the transcript over the course of various modifications being made to the transcript.

Abstract: A computing system configured to gather social media content includes a memory; a content collection and ingestion system, stored in the memory and configured, when executed on a computer processor, to communicate with one or more computing systems to direct a search of a content source using a received collection to request and to ingest the results of the directed search into a data store; and a content management system, stored in the memory and configured, when executed on a computer processor, to display the ingested results on a display.

Abstract: A computing system configured to gather social media content includes a memory; a content collection and ingestion system, stored in the memory and configured, when executed on a computer processor, to communicate with one or more computing systems to direct a search of a content source using a received collection request and to ingest the results of the directed search into a data store; and a content management system, stored in the memory and configured, when executed on a computer processor, to display the ingested results on a display.

Abstract: Systems, methods and computer-readable media are disclosed for capturing purchase information regarding purchased items of a consumer. Upon receiving an image of a receipt (a receipt image) regarding a list of purchased items, receipt text is generated. The receipt text is processed to identify the purchased items in the receipt image. Accordingly, an iteration is begun to iterate through the item blocks of the receipt text. An item block corresponds to a discrete item in the receipt text. The processing comprises extracting textual elements from the item block and matching the textual elements to a known product. Upon matching the textual elements to a known product, the consumer inventory associated with the consumer is updated with regard to the purchase of the known product.

Abstract: Systems, methods and computer-readable media are disclosed for capturing purchase information regarding purchased items of a consumer. Upon receiving an image of a receipt (a receipt image) regarding a list of purchased items, receipt text is generated. The receipt text is processed to identify the purchased items in the receipt image. Accordingly, an iteration is begun to iterate through the item blocks of the receipt text. An item block corresponds to a discrete item in the receipt text. The processing comprises extracting textual elements from the item block and matching the textual elements to a known product. Upon matching the textual elements to a known product, the consumer inventory associated with the consumer is updated with regard to the purchase of the known product.

Abstract: A computing system configured to gather social media content includes a memory; a content collection and ingestion system, stored in the memory and configured, when executed on a computer processor, to communicate with one or more computing systems to direct a search of a content source using a received collection to request and to ingest the results of the directed search into a data store; and a content management system, stored in the memory and configured, when executed on a computer processor, to display the ingested results on a display.

Abstract: A computing system configured to gather social media content includes a memory; a content collection and ingestion system, stored in the memory and configured, when executed on a computer processor, to communicate with one or more computing systems to direct a search of a content source using a received collection request and to ingest the results of the directed search into a data store; and a content management system, stored in the memory and configured, when executed on a computer processor, to display the ingested results on a display.

Abstract: Systems, methods and computer-readable media are disclosed for capturing purchase information regarding purchased items of a consumer. Upon receiving an image of a receipt (a receipt image) regarding a list of purchased items, receipt text is generated. The receipt text is processed to identify the purchased items in the receipt image. Accordingly, an iteration is begun to iterate through the item blocks of the receipt text. An item block corresponds to a discrete item in the receipt text. The processing comprises extracting textual elements from the item block and matching the textual elements to a known product. Upon matching the textual elements to a known product, the consumer inventory associated with the consumer is updated with regard to the purchase of the known product.

Abstract: A computing system configured so gather social media content includes a memory; a content collection and ingestion system, stored in the memory and configured, when executed on a computer processor, to communicate with, one or more computing systems to direct a search of a content source using a received collection request and to ingest the insults of the directed search into a data store; and a content management system, stored in the memory and configured, when executed on a computer processor, to display the ingested results on a display,

Abstract: A computing system configured to gather social media content includes a memory; a content collection and ingestion system, stored in the memory and configured, when executed on a computer processor, to communicate with one or more computing systems to direct a search of a content source using a received collection request and to ingest the results of the directed search into a data store; and a content management system, stored in the memory and configured, when executed on a computer processor, to display the ingested results on a display.

Abstract: Embodiments of the present invention provide methods, systems, and machine-readable media for identifying and sharing common trends represented in a corpus of private information without revealing the private information. Identifying and sharing common trends can comprise reading a first set of private information and a second set of private information. The first set of private information can be compared to the second set of private information and common information between the first set of private information and the second set of private information can be identified. Once identified, a determination can be made as to whether the identified common information represents an emerging trend, i.e., the common information re-occurs or develops over time. In response to determining the identified common information represents an emerging trend, the emerging trend can be reported without revealing the first set of private information or the second set of private information.

Abstract: A computing system configured to gather social media content includes a memory; a content collection and ingestion system, stored in the memory and configured, when executed on a computer processor, to communicate with one or more computing systems to direct a search of a content source using a received collection request and to ingest the results of the directed search into a data store; and a content management system, stored in the memory and configured, when executed on a computer processor, to display the ingested results on a display.

Abstract: Embodiments of the present invention provide methods, systems, and machine-readable media for identifying and sharing common trends represented in a corpus of private information without revealing the private information. Identifying and sharing common trends can comprise reading a first set of private information and a second set of private information. The first set of private information can be compared to the second set of private information and common information between the first set of private information and the second set of private information can be identified. Once identified, a determination can be made as to whether the identified common information represents an emerging trend, i.e., the common information re-occurs or develops over time. In response to determining the identified common information represents an emerging trend, the emerging trend can be reported without revealing the first set of private information or the second set of private information.