Abstract: Modifying augmented reality viewing is provided. It is determined that a user is viewing a scene space via augmented reality at a current geographic location of the user. It is detected that the viewing of the scene space is suboptimal for the user based on at least one of overcrowding of the viewed scene space at the current geographic location and significant battery usage to support augmented reality processing. Priority of one or more masks associated with the viewing of the scene space by the user is determined based on a user profile. The one or more masks associated with the viewing of the scene space are implemented based on the current geographic location of the user and the user profile. The one or more masks indicate that a portion of the viewed scene space is not to be processed for the viewing of the scene space via augmented reality.

Abstract: A system and method for filtering search results to exclude technically incompatible devices with a user's existing IoT network includes analyzing the search query to determine an objective of a user, calculating a relevance score for each IoT device, profiling an existing IoT network associated with the user, determining a compatibility of each IoT device with the existing IoT network, combining the relevance score and an ease of incorporation score to determine a total score, and filtering the search results for the IoT devices according to the total score, such that an optimal device is displayed at a top of the search results from the search engine on a webpage among other IoT devices that are above a minimum ease of incorporation score and removing other IoT devices from the search results displayed on the webpage that are below the minimum ease of incorporation score.

Abstract: Provided are a computer program product, system, and method for using remote words in data streams from remote devices to autocorrect input text. Remote words included in a at least one data stream are accessed from at least one remote device over a network to store in a remote word corpus. User input text is received in a text entry field in a user interface rendered by the computer device. Local words are maintained in a local word corpus stored in the computer device. The local words and the remote words are used to autocorrect and validate the user input text.

Abstract: Embodiments for phased collaborative editing by a processor. A region tag of phased input may be assigned to one or more document regions of a collaborative document along with a list of users enabled to input data to the one or more document regions according to the region tag. A concealed region of the one or more document regions may be revealed to one or more users in the list of users upon content input by a user matching content of the concealed region.

Abstract: Embodiments of the invention include computer-implemented methods, computer program products and systems for live video anomaly detection. The embodiments include detecting live stream data, determining an activity from the live stream data, and receiving contextual data associated with the live stream data. The embodiments also include prompting a user to redirect the live stream data from a first channel based on the activity and the contextual data, and redirecting, responsive to the prompt, the live stream data to a different channel and simultaneously maintaining the live stream data on the first channel.

Abstract: A method, computer program product, and system includes a processor(s) obtaining a hashtag and analyzing the hashtag to identify components comprising the hashtag. The processor(s) generate sub-hashtags, where each of the sub-hashtags includes at least one component. The processor(s) obtain, over an Internet connection, via a user interface of a social media platform displayed on a first computing resource, an entry by a user comprising text and the hashtag. The processor(s) obtains from a second computing resource, a request from a second user to access the entry that includes parameters of the second user on the platform. The processor(s) determine that a sub-hashtag is most relevant to the second user. The processor(s) configure instructions to display a customized entry, where the customized entry includes the text and the relevant sub-hashtag for the second user. The processor(s) instruct the second computing resource to display the customized entry in its user interface.

Abstract: The program directs a computer processor to implement a method that dynamically operates one or more appliances. The method estimates a time period for a user to arrive at a location, wherein the estimated time period is based on one or more time constraints, and identifies one or more appliances needed based on at least an instruction set. The method further generates and sends one or more operating commands to the identified one or more appliances based on the estimated time period, updates the estimated time period based on a change in the one or more time constraints, and generates and sends one or more updated operating commands to the identified one or more appliances, based on the updated estimated time period. The method may further detect a current location of the user and receive travel data that corresponds to the one or more time constraints.

Abstract: A method, computer program product, and system includes a processor(s) obtaining a hashtag and analyzing the hashtag to identify components comprising the hashtag. The processor(s) generate sub-hashtags, where each of the sub-hashtags includes at least one component. The processor(s) obtain, over an Internet connection, via a user interface of a social media platform displayed on a first computing resource, an entry by a user comprising text and the hashtag. The processor(s) obtains from a second computing resource, a request from a second user to access the entry that includes parameters of the second user on the platform. The processor(s) determine that a sub-hashtag is most relevant to the second user. The processor(s) configure instructions to display a customized entry, where the customized entry includes the text and the relevant sub-hashtag for the second user. The processor(s) instruct the second computing resource to display the customized entry in its user interface.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: monitoring one or more message of the conversation between multiple users for an entity reference; detecting the entity reference in a message in the conversation. An entity reference list stores previously established alternate name referring to a user in the conversation. By analyzing the message and following messages in the conversation for relevance of and sentiment to the entity reference, the entity reference is evaluated and if acceptable, the entity reference list is updated with the entity reference as a new alternate name to identify the user in subsequent messages.

Abstract: In an aspect of the present disclosure, a method for providing an alternate modality of input for filling a form field in response to a failure of voice recognition is disclosed including prompting the user for information corresponding to a field of a form, generating speech data by capturing a spoken response of the user to the prompt using at least one input device, attempting to convert the speech data to text, determining that the attempted conversion has failed, evaluating the failure using at least one speech rule, selecting, based on the evaluation, an alternate input modality to be used for receiving the information corresponding to the field of the form, receiving the information corresponding to the field of the form from the alternate input modality, and injecting the received information into the field of the form.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining respective video feeds of respective participants of a group of video conference participants, wherein the group of video conference participants includes one or more presenter participant and one or more viewer participant; examining data of the respective video feeds to determine a current group aggregate sentiment output for the video conference, wherein the examining includes subjecting data of feeds of the respective video feeds to sentiment analysis that includes processing of facial feature representing video data of the feeds; and presenting a video conference view to one or more participant of the group of video conference participants based on the group aggregate sentiment output.

Abstract: Segmenting hashtags is provided. A selection of a sub-hashtag contained within a hashtag is received from a client device via a network. A set of content linked only to the selected sub-hashtag within the hashtag is retrieved. The set of content linked only to the selected sub-hashtag is sent to the client device via the network.

Abstract: The context in which a user generates a search query is analyzed to generate an improved search query. Search query context may be determined with reference to a user profile or content collected from Internet of Things (IoT) or non-IoT devices located proximate the user. Content may be collected when the search query is generated or at a time before the search query is generated. Content collected for context analysis includes visual display content (screen capture), audio content, and data content.

Abstract: Systems and methods for dynamic contribution mapping of digital works are disclosed. In embodiments, a computer-implemented method, comprises: capturing, by a computing device, an IP address of a user signing into a content management system through a user computer device; determining, by the computing device, that the IP address of the user does or does not match existing user profile data in a user profile database; determining, by the computing device, that the user is modifying a portion of a digital work; determining, by the computing device, an engagement context of the user's modification of the digital work using natural language processing; determining, by the computing device, an engagement type of the user based on the engagement context; and mapping, by the computing device, the user profile data of the user and the engagement type with the portion of the digital work.

Abstract: A social media platform is searched by a computer to identify a set of duplicate images including a first image that was posted to the platform by a first user and a second image that was posted to the platform by a second user. A notification is provided by the computer to the first user and the second user indicating that the set of duplicate images exists. A host is selected by the computer for a single consolidated image of the set of duplicate images. The first image or the second image is used by the computer to provide the single consolidated image. One or more social media interactions associated with the first image are consolidated by the computer with one or more social media interactions associated with the second image to generate a single set of social media interactions for the single consolidated image.

Abstract: An approach is provided to detect pronouns that are included in textual posts that are found in an online discussion. The textual posts are analyzed using a natural language processing speech classification technique, that results in an identification of a noun to which the detected pronoun refers. The system then displays, on a display device, the noun to which the pronoun refers.

Abstract: An approach is provided to detect pronouns that are included in textual posts that are found in an online discussion. The textual posts are analyzed using a natural language processing speech classification technique, that results in an identification of a noun to which the detected pronoun refers. The system then displays, on a display device, the noun to which the pronoun refers.

Abstract: A mechanism is provided for intelligently integrating descriptions of images into surrounding text for a screen reader. A natural language understanding image description is determined for an image in a document. For each sentence of a set of sentences in the text of the document, a relatedness score between the sentence and the natural language understanding image description is determined thereby forming a set of relatedness scores. A highest relatedness score is determined from the set of relatedness scores. The natural language image description is inserted in close proximity to a sentence associated with the highest relatedness score, such that, when the text is read out by the screen reader, the natural language image description of the image is read out in close proximity to the sentence.

Abstract: Systems and methods for tagging video content are disclosed. A method includes: receiving a video stream from a user computer device, the video stream including audio data and video data; determining a candidate audio tag based on analyzing the audio data; establishing an audio confidence score of the candidate audio tag based on the analyzing of the audio data; determining a candidate video tag based on analyzing the video data; establishing a video confidence score of the candidate video tag based on the analyzing of the video data; determining a correlation factor of the candidate audio tag relative to the candidate video tag; and assigning a tag to a portion in the video stream based on the correlation factor exceeding a correlation threshold value and at least one of the audio confidence score exceeding an audio threshold value and the video confidence score exceeding a video threshold value.

Abstract: A social media platform is searched by a computer to identify a set of duplicate images including a first image that was posted to the platform by a first user and a second image that was posted to the platform by a second user. A notification is provided by the computer to the first user and the second user indicating that the set of duplicate images exists. A host is selected by the computer for a single consolidated image of the set of duplicate images. The first image or the second image is used by the computer to provide the single consolidated image. One or more social media interactions associated with the first image are consolidated by the computer with one or more social media interactions associated with the second image to generate a single set of social media interactions for the single consolidated image.