A method for trait prediction includes receiving a text sequence and generating character embeddings for characters of the text sequence. Word representations for words of the text sequence are generated with a trained character sequence model, based on the character embeddings. A sequence representation is generated for the text sequence with a trained word sequence model, based on the word representations. At least one trait prediction is generated with a trained trait model, based on the sequence representation.

Author personality trait recognition from short texts with a deep compositional learning approach

A vehicle monitoring system, comprising: an interface configured to at least communicate with a controller area network bus; a remote data telecommunication interface; a database; at least one automated processor, configured to: extract information from the controller area network bus; store records in the database representing the extracted information; process the database to determine operating statistics; selectively communicate at least a portion of the database over the remote data telecommunication interface; and determine at least one of an operating parameter for the vehicle and a predicted net fuel cost based on at least the operating statistics and a fuel unit cost.

Interfacing with a vehicular controller area network

The present disclosure involves systems, software, and computer implemented methods for personalizing interactions within a conversational interface based on an input context. One example system performs operations including receiving a conversational input received via a conversational interface. The conversational input is analyzed to determine an intent and lexical personality score based on the input's characteristics. A set of responsive content is determined and includes a set of initial tokens representing an initial response. A set of synonym tokens associated with at least some of the initial tokens are identified, and at least one synonym token associated with a similar lexical personality score to the input is determined. At least one of the initial tokens are replaced with the determined synonym token to generate a modified version of the set of response content. The modified version of the response is then transmitted to a device in response to the input.

Conversational interface determining lexical personality score for response generation with synonym replacement

Method and apparatus for monitoring collaboration parameters and maintaining user profiles using cognitive computing techniques are provided. The method includes receiving a domain for a first collaborative session, and retrieving a plurality of trait profiles associated with potential participants. The method further includes determining a subset of trait profiles based in part on comparing each respective trait profile with the rest of the trait profiles, and providing the subset of trait profiles. Additionally, the method includes receiving an indication that the subset of trait profiles is acceptable, and a request to initiate the first collaborative session with participants corresponding to the subset of trait profiles. The method includes initializing a plurality of sensor devices, detecting a first contribution from a first participant, classifying the first contribution using cognitive computing techniques, identifying a trait profile corresponding to the first participant, and updating the identified trait profile.

Cognitive computing techniques for optimal collaboration participant selection

The embodiment of the invention discloses an interaction method based on artificial intelligence, which comprises the following steps: obtaining dialogue information input by a user, and obtaining atleast one piece of key node information according to the dialogue information; predicting prediction node information corresponding to the at least one piece of key node information according to a psychological knowledge graph; generating an intervention strategy according to the prediction node information, wherein the psychological knowledge graph is composed of a plurality of quintuple structures which are associated with one another, and each quintuple structure comprises character node information, and event node information, emotion node information, cognitive node information and behavior node information which are associated with the character node information. The method can improve the effectiveness and accuracy of intervention, and improve the consultation efficiency. The invention further provides a psychological intervention system, a terminal and a medium.

Interaction method based on artificial intelligence, psychological intervention system, terminal and medium

According to embodiments illustrated herein there is provided a method for determining a psychological type of a user. The method includes determining a first score for the user based on a profile of the user on a social media platform. Further, a second score is determined for the user based on activities of the user on the social media platform. Thereafter, a third score is determined for the user based on context of conversations of the user on the social media platform, which is determined based on a part of speech of each word in the conversations using a context database. Each word is categorized based on at least the part of speech associated with the word. The third score is determined based on the categorization. The psychological type of the user is determined based on the first score, the second score, and the third score.

Methods and systems for predicting psychological types

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Methods and systems for predicting psychological types