65 results about "Emoji" patented technology

Techniques for transcribing and / or summarizing multimedia collaboration sessions are discussed herein. For example, users can communicate within a teleconferencing meeting associated with a channel. In some examples, a first machine learning model may be configured to receive audio-visual data and user interaction data (e.g., selected emojis, detected gestures, messages or text input by a user, a thread of messages, etc.) and output a teleconferencing meeting summary. In some examples, the teleconferencing meeting summary can include one or more highlights, action items, and / or artificial intelligence (AI) notes generated using a machine learning model(s).

The invention discloses an intelligent communication content adaptation system and method based on user intention recognition. The system integrates and processes texts, voices, emoticons and unstructured behavior data through a multi-modal input analysis module; the deep learning intention recognition engine adopts a triple attention mechanism, current input and weighted historical interaction features are fused, and multi-level intention classification including basic operation, semantic targets and emotion driving is output; the real-time emotion state analysis module fuses acoustics, semantics and physiological indexes to generate a dynamic emotion matrix; the content adaptation decision engine is based on the intention confidence and the emotional state; and the multi-channel output optimization module performs cooperative adjustment on the speech synthesis rhythm, the text abstract and the visual interface according to the speech synthesis rhythm and the text abstract. According to the method, the perception precision of the deep intention and emotion of the user in a complex scene is remarkably improved, the individuation and multi-channel adaptive optimization of the response content are realized, and the communication efficiency and the user experience are effectively improved.

A method and a system for performing domain adaptations of social media text by using lexical data transformations are provided. The method includes: receiving a first data set that is usable for training a machine learning (ML) model that is designed to perform natural language processing tasks; training the ML model by using the first data set; receiving a second data set that relates to a social media platform; transforming a subset of the first data set into a third data set that is suitable for the social media platform; and retraining the ML model by using a combination of the first data set, the second data set, and the third data set. The transformations may include injecting emojis, emoticons, user mention indicators, hashtags, retransmission indicators, URLs, and / or inverse lexical normalizations that are often used in social media posts.

The technology provides mechanisms to set criteria for when a scheduled send of a communication, such as an email, text message, chat message, etc., should occur. The criteria can be based on the state of a user's message inbox, their communication channels, and / or the status or actions of others to be communicated with. Machine learning can be used to either generate the criteria for when or how to respond, or to generate a recommended response. The system can reformat a communication by changing the tone of a message, or rework the communication for transmission in an alternative format / medium via a different messaging app. This can involve changing from an email message to a chat or audio message, replacing text with emoji or the like, adding visual indicia to the communication, and / or adding audible information to the communication.

1. Name of this design product: Pack (Emoji Pack). 2. Purpose of this design: To contain items. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The rear view is shown in the changing state diagram, and is omitted.

The invention discloses an 18-key pinyin input method and device, electronic equipment and a medium, and belongs to the technical field of computer character input. An existing Chinese input method has the defects that the keys are too dense, mistaken touch is prone to occurring, the repeated code rate is high, spelling is inconvenient and the like, and input efficiency is affected. The design that the initial consonant area and the final area are separated is adopted, nine keys are arranged, left-hand and right-hand division input is achieved, conflicts are reduced, and the spelling speed is increased; the initial consonant area key corresponds to two letters, the final area key corresponds to a single letter, and a user-defined key is reserved as a delete key. The character prompt area is provided with double-row display, so that pinyin combination results can be prompted conveniently. Besides the alphabet area, functional keys such as Chinese-English / simple-complex switching, punctuation, emoji, number, space and return are further configured, the function of triggering extension by long pressing is supported, the input position can be moved by long pressing of the space key, and voice input can be performed by long pressing of the return key. By optimizing the number, distribution and interaction mode of the keys, the input efficiency and the operation comfort are both considered, the false touch rate is remarkably reduced, and the Chinese input experience on the mobile equipment is improved.

Provided in the embodiments of the present disclosure are an emoji content processing method and apparatus, and a device, a readable storage medium and a product. The method comprises: in a preset interface, displaying target content associated with second users, and a preset target control; on the basis of preset trigger operations performed by first users on the target control, displaying a preset emoji content generation interface; acquiring emoji content generated in the emoji content generation interface, and displaying the emoji content and a preset sending control in the emoji content generation interface; and in response to a trigger operation on the sending control, sending the emoji content to conversation interfaces associated with the second users. Therefore, the first users can generate emoji content that better meets actual requirements, and can quickly send the emoji content to the conversation interfaces, thereby simplifying the processes of generating and sending the emoji content.

A text analysis processing for detecting computer-generated text is provided. In some cases, a text-based chat interaction may be initiated and analyzed to determine whether the text-based chat generated by a communicating entity is computer-generated. The text of the chat session may be analyzed to evaluate punctuation, use of emojis, spacing, grammar, words, phrases, and the like to determine a further likelihood of whether the text is computer-generated. A duration of the chat session may be used as a scoring factor. The various probabilities and scores may be combined to provide a composite score.

Methods, systems, and storage media for providing a heuristic multilanguage tokenizer in a web browser environment are disclosed. Exemplary implementations can receive a query; generate a query set comprising at least one query token; generate a result set from a searchable phrase, wherein the result set comprises at least one phrase token; generating at least one supplemental set. Determining that any of the sets comprise at least one of: a first character-type, a second character-type, or an emoji. In response to determining the first character-type: determining a word boundary and extracting a diacritic. In response to determining that the query, result set and the supplemental set comprise the second-type or the emoji, adding a space around each second character-type or emoji in the set; and segmenting the set into a plurality of tokens.

A text analysis processing for detecting computer-generated text is provided. In some cases, a text-based chat interaction may be initiated and analyzed to determine whether the text-based chat generated by a communicating entity is computer-generated. The text of the chat session may be analyzed to evaluate punctuation, use of emojis, spacing, grammar, words, phrases, and the like to determine a further likelihood of whether the text is computer-generated. A duration of the chat session may be used as a scoring factor. The various probabilities and scores may be combined to provide a composite score.

Present disclosure relates to a method and a user equipment (UE) for enhancing multimodal input content. The UE obtains text-blocks associated with multimodal input and determines a plurality of features for each of the text-blocks using a natural language processing (NLP) model and a neural network (NN) model. Further, the UE identifies usage pattern of the plurality of features based on historic data associated with the usage of the plurality of features using NN model. Thereafter, the UE generates personalized text for each of the textblocks based on the plurality of features and usage pattern. The UE inserts personalized emoticons based on context of text-blocks and lingo of each word using user lingo database. Thus, the UE eliminates manual correction of texts and enhances the readability of message / text entered by user.

A message interaction method and apparatus, a device, a storage medium, and a program product. The method proposed herein comprises: receiving, in an interactive interface with a virtual object, a first message input by a user; presenting a second message generated by the virtual object on the basis of the first message; and providing a first emoji associated with the second message, the first emoji being determined from a preset first emoji library on the basis of the second message.

This invention provides a method, apparatus, device, and medium for updating emoji resources, relating to the field of resource updates. The method includes: a terminal device sending the version number of emoji resources in a first storage area to a server, where the first storage area is the working area; receiving latest version identification information sent by the server; comparing the version number of the emoji resources in the working area with the version number in the latest version identification information to obtain a comparison result; in response to the comparison result indicating a version difference, downloading the latest emoji resources sent by the server to a cache area; temporarily storing the latest emoji resources in the decompressed area to a second storage area; setting the second storage area as the working area and the first storage area as a backup area. For lightweight terminal devices, this method employs a process combining layered storage and atomic updates, avoiding the consumption of terminal memory resources and eliminating the need to parse the internal files of the emoji resources, thus achieving seamless updates and smooth switching.

The invention provides a training method of an artificial intelligence dialogue model, an artificial intelligence dialogue method and equipment, and relates to the technical field of artificial intelligence. Dialogue data with specific emoji package mark information is utilized to train the model, so that the model learns dialogue context logic and the use rule of the emoji package in dialogue context, dynamic generation and accurate recommendation of the emoji package are achieved, the emoji package conforms to dialogue content, expression is effectively assisted, and the user experience is improved. Richness and accuracy of the generated content are improved, and communication quality is improved.

Proposed is a method for displaying an emoticon by a user terminal. The method may include identifying text information input into an input field of a chat room. The method may also include displaying, in response to the text information satisfying a predetermined criterion associated with keyword information corresponding to the emoticon folder, an interface for inputting at least one emoticon included in an emoticon folder in the chat room.

The present disclosure relates to a method and system for providing contextually animated emojis. The method comprises obtaining an input text message by a user. The method comprises obtaining at least one message from a message thread among users. The method comprises obtaining, audio vector embeddings by encoding the obtained input text message and each of the obtained at least one message. The method comprises obtaining lip vertices, and generating a series of face expression codes based on the audio vector embeddings and the lip vertices. The method comprises obtaining guide pose vectors, and generating a series of joint angle vectors based on the audio vector embeddings and the guide pose vectors. The method comprises animating an emoji based on the series of face expression codes and the series of joint angle vectors.

The application belongs to the technical field of information hiding in information transmission, and discloses a steganographic text anti-steganalysis capability enhancement method based on deep learning. The method learns the characteristics of the data set in the open domain environment by using the deep learning method, generates steganographic text with the statistical distribution of the original data set while embedding secret information, and finally recommends the corresponding emoticons for the steganographic text according to the distribution of the emotional tendency and emoticons of the steganographic text in the real environment, so as to further strengthen the anti-steganalysis capability of the steganographic text. The application solves the problem of missing emotional clues in the generated text steganography, so that the anti-attack capability of the steganographic text is stronger when the steganographic text is transmitted in the public channel.

A personalized emoji dictionary, such as for use with emoji-first messaging. Text messaging is automatically converted to emojis by an emoji-first application so that only emojis are communicated from one client device to another client device. Each client device has a personalized emoji library of emojis that are mapped to words, which libraries are customizable and unique to the users of the client devices, such that the users can communicate secretly in code. Upon receipt of a string of emojis, a user can select the emoji string to convert to text if desired, for a predetermined period of time.

A method for displaying an image, a user terminal, and a server are provided.SOLUTION: A method for displaying a user terminal emoticon includes checking text information input in an input box of a chat room (201), and displaying an interface for inputting at least one emoticon included in an emoticon folder in the chat room when the text information satisfies keyword information corresponding to the emoticon folder and a predetermined reference (203).SELECTED DRAWING: Figure 2

The disclosure relates to an interaction processing method and apparatus, an electronic device, a storage medium and a program product, which relates to the technical field of computers. The interaction processing method of the present disclosure includes: displaying an interaction interface between a user and an interaction object; generating at least one emoji based on interaction information and a base image, in response to the user inputting the interaction information in an input area of the interaction interface, wherein the base image is an image authorized by the user and comprises a face; displaying the at least one emoji; and sending a first target emoji to the interaction object, in response to a conformation operation of the user on the first target emoji among the at least one emoji.

1. Name of the product in this design: Pastry (Lion Taro Paste Black Rice Pastry (Emoji 1)). 2. Purpose of this design: This design is intended for use in food products intended for consumption by a wide range of consumers. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key features: a top view. 5. The design for which protection is sought includes color.

The present disclosure relates to an emoji processing method, an apparatus, an electronic device and a storage media. The emoji processing method includes receiving an evocation operation on an emoji panel in a current service scenario; and displaying the emoji panel in response to the evocation operation on the emoji panel, wherein the emoji panel comprises personalized emoji(s) related to the current service scenario.

1. The name of the design product: editing pop-up window of dynamic expression editing graphical user interface for electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the part in the graphical user interface, the part outside the dashed line is the claimed part. 4. The picture or photo that best shows the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the overall design of the interface is used for expression function setting, showing dynamic expression editing pop-up window, cropping expression, selecting dynamic expression key frame, etc., and the partial appearance design of the interface is used for showing dynamic expression editing pop-up window, synchronous cropping and selecting key frame expression online editing function, etc. 7. The human-computer interaction mode of the graphical user interface: in design 1 front view, the user can drag the cropping frame in the area below "crop expression" to crop the required expression picture; can click to select any dynamic key frame as a thumbnail, and can click "OK" control to complete editing. The human-computer interaction mode of design 2 to design 4 is the same as that of design 1. In design 5 front view, when the user drags the cropping frame in the area below "crop expression", the selected area is recropped, and the interface changes from design 5 front view to design 5 interface change state view. The area below "crop expression" in each design view is the content picture, such as dynamic expression, dynamic video, etc.; below the area of dynamic content picture, the key frame thumbnail content of dynamic content picture is displayed.

The present application relates to the field of human-computer interaction, and discloses an emoji input method and apparatus, a device, a storage medium, and a product. The method comprises: acquiring voice information during a voice-to-text input process; displaying at least one recommended emoji on a candidate bar on the basis of the voice information, the at least one recommended emoji comprising a first emoji; and in response to an input operation for the first emoji, inputting the first emoji to a text input area.

Embodiments of the present application provide an emoji prediction method and device, equipment and storage medium, relating to the technical field of artificial intelligence, the method comprising: obtaining a target image and target text information, the target image being an image with labeled information, the labeled information including the target text information and an emoji; determining at least one predicted emoji of the labeled information according to the target image, the target text information and a pre-trained emoji prediction model, the emoji prediction model being trained according to a plurality of training samples, each training sample including a sample image and labeled information of the sample image, the labeled information of the sample image including text labeled information and a labeled emoji; and displaying the at least one predicted emoji of the labeled information. Thus, the emoji contained in the labeled information of the image can be predicted, ensuring the integrity of the transcription of the labeled information of the image.

This invention discloses a method for identifying harmful statements in the private chat function of a dating app. The method includes the following steps: establishing a list of emoticons; assigning a frequency probability value to each extended meaning of the same emoticon; replacing emoticons in the message with their corresponding codes; setting detection conditions; if a message does not meet the conditions, supplementing and combining the information; if the conditions are met, directly detecting the message; using a sliding window mechanism to detect the transformed sentences, determining whether the message is harmful after verification, and deciding whether to send the message based on its harmfulness; updating the list of high-risk emoticons based on customer feedback; and periodically updating the usage frequency of each extended meaning of the emoticon. The beneficial effects of this invention are: preventing malicious individuals from using combinations of emoticons or combinations of emoticons and text to convey information with harassing, fraudulent, or violent connotations.

The application discloses a kind of expression symbol recommendation method and system based on scene adaptation, the text keyword corresponding to its determination by input voice information, then according to the current scene identification of several current scene identifications detected, obtain current scene identification result in combination with preset neural network model, then by the first scene record corresponding to the scene identification result is obtained by matching the scene identification result to the preset several scene records, according to the text keyword, current scene identification result and the first scene record, in combination with preset scene adaptation algorithm, obtain recommended expression symbol list, support according to voice recommendation expression symbol, improve the accuracy of expression symbol recommendation.

The application provides an emoji classification method with metaphor information based on contrast learning, which comprises the following steps: extracting effective data from a data set and performing preprocessing to obtain an emoji data set, dividing the emoji data set into a training set, a verification set and a test set; obtaining emoji text feature representation, emoji picture feature representation and emoji label information feature representation; calculating a picture-text joint representation feature vector and a label feature vector; constructing an emoji sentiment analysis training model based on contrast learning with metaphor information; training the emoji sentiment analysis training model by using the training set; verifying and testing the trained emoji sentiment analysis training model by using the verification set and the test set to obtain an emoji sentiment analysis model; and inputting an emoji to be analyzed into the emoji sentiment analysis model to obtain a sentiment classification result and an intention detection classification result of the emoji to be analyzed. The application can improve the accuracy of emoji sentiment classification and intention detection classification.