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3 results about "Categorization" patented technology

Categorization is something that humans and other organisms do: "doing the right thing with the right kind of thing." The doing can be nonverbal or verbal. For humans, both concrete objects and abstract ideas are recognized, differentiated, and understood through categorization. Objects are usually categorized for some adaptive or pragmatic purpose. Categorization is grounded in the features that distinguish the category's members from nonmembers. Categorization is important in learning, prediction, inference, decision making, language, and many forms of organisms' interaction with their environments.

Conversation interaction method and device, equipment and medium

PendingCN114780675AImprove the quality of interactive experienceCharacter and pattern recognitionNatural language data processingGeneration processDialog system
The invention relates to the technical field of artificial intelligence, and discloses a dialogue interaction method and device, equipment and a medium. The method comprises the steps of obtaining a to-be-replied dialogue text; based on a pre-trained classification model, classifying the dialogue text, and obtaining emotional polarities and theme tags corresponding to the dialogue text; determining a corresponding dialogue strategy based on the emotion polarity and the theme label; and based on a pre-trained generative pre-training GPT model, determining a target reply text corresponding to the dialogue strategy. The emotion and theme element controllable mode is introduced in the reply generation process of the dialogue system, the dialogue of the user is divided into more accurate emotion and theme classification, the corresponding dialogue strategy can be determined according to the emotion and theme classification, the reply generation direction of the dialogue system is flexibly adjusted, and the interaction experience quality of the dialogue system is improved.
Owner:CHINA MERCHANTS BANK

Topic classification method and device and computer equipment

PendingCN112036485AAvoid interferenceReduce the effects of noiseSemantic analysisCharacter and pattern recognitionInformation repositoryBag-of-words model
The invention relates to a big data technology, and discloses a topic classification method, which comprises the steps of obtaining a bag-of-words model corresponding to each article in an informationbase, the bag-of-words model being a subject term combination formed after stop words and part-of-speech screening, and the bag-of-words model comprising subject terms and occurrence frequencies corresponding to the subject terms; taking the bag-of-words models corresponding to the articles as topics of the articles in a one-to-one correspondence manner, and inputting the bag-of-words models intoan LDA topic model; judging whether the iterative training process of topic classification of the topics of the articles is converged or not by the LDA topic model according to a preset topic number;and if yes, obtaining classification information of topic classification corresponding to each output article when LDA topic model training converges. Bag-of-words models respectively corresponding to articles are respectively formed after stop words and part-of-speech screening and serve as feature input of the LDA topic model, interference of words without content value and appearing at high frequency is avoided, and noise influence in the topic classification process is eliminated.
Owner:PING AN TECH (SHENZHEN) CO LTD
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