CN111611269A - Artificial intelligence emotion accompanying and attending system in conversation and chat mode - Google Patents
Artificial intelligence emotion accompanying and attending system in conversation and chat mode Download PDFInfo
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- CN111611269A CN111611269A CN202010444585.1A CN202010444585A CN111611269A CN 111611269 A CN111611269 A CN 111611269A CN 202010444585 A CN202010444585 A CN 202010444585A CN 111611269 A CN111611269 A CN 111611269A
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Abstract
The invention provides an artificial intelligence emotion accompanying and attending system in a conversation and chat mode, which comprises: the system comprises a user data input module, a corpus management module, a back-end message module and a data display module, wherein the user data input module is used for setting personal information, chat preference and account information for a user through handheld equipment; the data display module comprises a bill dialogue unit which comprises working modes of accounting chat, learning chat, birthday blessing chat, mood chat, scene chat, information prompting chat, AI education and free chat. The invention relates to a dialogue chatting mode of multimedia information such as characters, facial expression bags, videos and the like which is intelligently generated based on characters accepted and liked by the public and is added with artificially beautified and optimized materials as media, so as to meet the accompanying demands of a plurality of young people and consolidate the world with rich emotion and spirit.
Description
Technical Field
The invention relates to the technical field of natural language analysis, in particular to an artificial intelligent emotion accompanying and attending system in a conversation and chat mode.
Background
With the rapid development of Chinese economy, the material demand of young people has not been a problem for a long time. In contrast, most of the current women are solitary due to birth control in the early years, and many left-behind children exist in the urbanization process. The mental and emotional needs of these young people are largely unmet.
The AI interactive robots on the market today are mostly tool-specific. For example, a tianmaojingling of alibaba, a small-worship robot of millet, a siri assistant of apple and the like are mainly used for solving user requests, and the siri assistant comprises information searching, internet of things controlling and the like, and basically has no emotional accompanying effect.
Disclosure of Invention
The invention aims to provide an artificial intelligence emotion accompanying and attending system in a conversation and chat mode, and aims to solve the problems in the background technology.
The technical problem solved by the invention is realized by adopting the following technical scheme: an artificial intelligence emotion accompanying system in conversation chat mode, comprising: the system comprises a user data input module, a corpus management module, a back-end message module and a data display module, wherein the user data input module is used for setting personal information, chat preference and account information for a user through handheld equipment; the corpus management module comprises a rule matching module, a dynamic calling module, an information assembling module, an LSTM module in deep learning and a statement similarity calculation module based on doc2vec, and the data display module comprises a bill dialogue unit which comprises working modes of accounting chat, learning chat, birthday blessing chat, mood chat, scene chat, information prompting chat, AI (education) calling and free chat.
The user data input module comprises identity information, state information and bill information.
The billing chat comprises the following steps:
step 1: finding out all corpora which are suitable for the current accounting message and meet the chat preference of the current user; the current accounting message comprises category, accounting amount, accounting time and keywords;
step 2: dynamically calculating the weight of each corpus in the step 1, wherein the weight of each corpus is in direct proportion to the strict degree of an applicable condition and in inverse proportion to the number of times that the corpus is hit by a current user;
and step 3: and finding out the corpus with the highest weight and returning the corpus to the client.
The learning chat comprises the following steps:
step 1: the user selects an item to be learned from the interface, any information category which can lead the user to know and experience growth, and the user selects a specific virtual AI;
step 2: the system sends information media carrying knowledge to the system for the user to learn;
and step 3: the user indicates that the learning is complete;
and 4, step 4: the system sends an examination question to the system, so that the user can confirm whether the previous knowledge acquisition process is completed or not, the result is displayed, and meanwhile, the virtual AI sends words for encouraging the user to continue learning.
The birthday blessing chat comprises the following steps:
step 1: the user selects and sets the birthday of the user from the interface, including year, month and day;
step 2: inquiring users of birthdays of the current day every day;
and step 3: and finding out the corpus with the highest weight and returning the corpus to the client.
The mood chat comprises the following steps:
step 1: the user sends pictures and characters describing the current mood from the interface;
step 2: dynamically calculating the weight of each corpus in the step 1, wherein the weight of each corpus is in direct proportion to the strict degree of an applicable condition and in inverse proportion to the number of times that the corpus is hit by a current user;
and step 3: and finding out the corpus with the highest weight and returning the corpus to the client.
The contextual chat includes the steps of:
step 1: a user selects a scene group added with a certain theme from an interface;
step 2: setting a group nickname of each group member;
and step 3: setting the nickname of the user in the group;
and 4, step 4: and the background pushes character chatting records to the user according to the creativity of the operators and displays the character chatting records on a group chatting interface.
The information prompting chat comprises the following steps:
step 1: a user selects a specific virtual AI;
step 2: some event that the system matches to this virtual AI;
and step 3: and generating an information medium and sending the information medium to the user in a way of virtual character speaking.
The AI tutoring comprises the following steps:
step 1: a user selects a specific virtual AI;
step 2: selecting chat types including accounting chat, mood chat, birthday blessing chat and scene chat;
and step 3: submitting corresponding media information;
and 4, step 4: the other users receive the message.
The free chat includes the following steps:
step 1, inputting a word to be spoken by a user;
step 2, calculating the sentence similarity based on doc2vec, and judging the mood and the intention of the user by using the LSTM in deep learning;
and 3, giving a corresponding reply.
Compared with the prior art, the invention has the beneficial effects that: the invention relates to a dialogue chatting mode of multimedia information such as characters, facial expression bags, videos and the like which is intelligently generated based on characters accepted and liked by the public and is added with artificially beautified and optimized materials as media, so as to meet the accompanying demands of a plurality of young people and consolidate the world with rich emotion and spirit.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
In the description of the present invention, it should be noted that unless otherwise specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected, mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements.
As shown in fig. 1, an artificial intelligence emotion accompanying system in conversation chat mode includes: the system comprises a user data input module, a corpus management module, a back-end message module and a data display module, wherein the user data input module is used for setting personal information, chat preference and account information for a user through handheld equipment; the corpus management module comprises a rule matching module, a dynamic calling module, an information assembling module, an LSTM module in deep learning and a statement similarity calculation module based on doc2vec, and the data display module comprises a bill dialogue unit which comprises working modes of accounting chat, learning chat, birthday blessing chat, mood chat, scene chat, information prompting chat, AI (education) training and free chat.
The user data input module comprises identity information, state information and bill information.
The identity information includes date of birth, constellation, gender, age, location. Chat preference, users select roles (such as dad, mom, boy friend, girl friend, son and daughter) and role characters (such as gentle, overlord and lovely), and set role head portrait, role appellation and role-to-self appellation.
Example 1
The billing chat comprises the following steps:
step 1: finding out all corpora which are suitable for the current accounting message and meet the chat preference of the current user; the current accounting message comprises category, accounting amount, accounting time and keywords;
step 2: dynamically calculating the weight of each corpus in the step 1, wherein the weight of each corpus is in direct proportion to the strict degree of an applicable condition and in inverse proportion to the number of times that the corpus is hit by a current user;
and step 3: and finding out the corpus with the highest weight and returning the corpus to the client.
Example 2
The learning chat comprises the following steps:
step 1: the user selects an item to be learned from the interface, any information category which can lead the user to know and experience growth, and the user selects a specific virtual AI;
step 2: the system sends information media carrying knowledge to the system for the user to learn;
and step 3: the user indicates that the learning is complete;
and 4, step 4: the system sends an examination question to the system, so that the user can confirm whether the previous knowledge acquisition process is completed or not, the result is displayed, and meanwhile, the virtual AI sends words for encouraging the user to continue learning.
Example 3
The birthday blessing chat comprises the following steps:
step 1: the user selects and sets the birthday of the user from the interface, including year, month and day;
step 2: inquiring users of birthdays of the current day every day;
and step 3: and finding out the corpus with the highest weight and returning the corpus to the client.
Example 4
The mood chat comprises the following steps:
step 1: the user sends pictures and characters describing the current mood from the interface;
step 2: dynamically calculating the weight of each corpus in the step 1, wherein the weight of each corpus is in direct proportion to the strict degree of an applicable condition and in inverse proportion to the number of times that the corpus is hit by a current user;
and step 3: and finding out the corpus with the highest weight and returning the corpus to the client.
Example 5
The contextual chat includes the steps of:
step 1: a user selects a scene group added with a certain theme from an interface;
step 2: setting a group nickname of each group member;
and step 3: setting the nickname of the user in the group;
and 4, step 4: and the background pushes character chatting records to the user according to the creativity of the operators and displays the character chatting records on a group chatting interface.
Example 6
The information prompting chat comprises the following steps:
step 1: a user selects a specific virtual AI;
step 2: some event that the system matches to this virtual AI;
and step 3: and generating an information medium and sending the information medium to the user in a way of virtual character speaking.
Example 7
The AI tutoring comprises the following steps:
step 1: a user selects a specific virtual AI;
step 2: selecting chat types including accounting chat, mood chat, birthday blessing chat and scene chat;
and step 3: submitting corresponding media information (characters, pictures, videos and the like);
and 4, step 4: the other users receive the message.
Example 8
The free chat includes the following steps:
step 1, inputting a word to be spoken by a user;
step 2, calculating the sentence similarity based on doc2vec, and judging the mood, the intention and the like of the user by using the LSTM in deep learning;
and 3, giving a corresponding reply.
The invention relates to a dialogue chatting mode of multimedia information such as characters, facial expression bags, videos and the like which is intelligently generated based on characters which are accepted and liked by the public for a long time and is added with artificially beautified and optimized materials as media, which is used for meeting the accompanying demands of a plurality of young people and consoling the world with rich emotion and spirit to feel the social expansion feeling brought by intelligent AI chatting.
In an era of cultural blowout, the young people need a great deal of propaganda cost to convey out small works in microblogs and other platforms in the big V forest; but on the contrary cannot stand on the platforms of the masses. But in our platform with the youth as the main and the same hobbies, the small creation and the small inspiration of the platform can obtain more chances to be known and accepted by people. The proportion of the conventional intelligent AI chatting is extremely low and is lower than 2%, but in the invention, the chatting interaction proportion is higher than 20%, and no purposeful chatting can better reflect that a user is an object with 'emotion'.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (9)
1. An artificial intelligence emotion accompanying and attending system in conversation and chat mode is characterized in that: the method comprises the following steps: the system comprises a user data input module, a corpus management module, a back-end message module and a data display module, wherein the user data input module is used for setting personal information, chat preference and account information for a user through handheld equipment; the corpus management module comprises a rule matching module, a dynamic calling module, an information assembling module, an LSTM module in deep learning and a statement similarity calculation module based on doc2vec, and the data display module comprises a bill dialogue unit which comprises working modes of accounting chat, learning chat, birthday blessing chat, mood chat, scene chat, information prompting chat, AI (education) calling and free chat.
2. The artificial intelligence emotion accompanying system in conversation chat mode, as claimed in claim 1, wherein: the user data input module comprises identity information, state information and bill information.
3. The artificial intelligence emotion accompanying system of a conversation chat mode as claimed in any one of claims 1 to 3, wherein: the billing chat comprises the following steps:
step 1: finding out all corpora which are suitable for the current accounting message and meet the chat preference of the current user; the current accounting message comprises category, accounting amount, accounting time and keywords;
step 2: dynamically calculating the weight of each corpus in the step 1, wherein the weight of each corpus is in direct proportion to the strict degree of an applicable condition and in inverse proportion to the number of times that the corpus is hit by a current user;
and step 3: and finding out the corpus with the highest weight and returning the corpus to the client.
4. The artificial intelligence emotion accompanying system of a conversation chat mode as claimed in any one of claims 1 to 3, wherein: the learning chat comprises the following steps:
step 1: the user selects an item to be learned from the interface, any information category which can lead the user to know and experience growth, and the user selects a specific virtual AI;
step 2: the system sends information media carrying knowledge to the system for the user to learn;
and step 3: the user indicates that the learning is complete;
and 4, step 4: the system sends an examination question to the system, so that the user can confirm whether the previous knowledge acquisition process is completed or not, the result is displayed, and meanwhile, the virtual AI sends words for encouraging the user to continue learning.
5. The artificial intelligence emotion accompanying system of a conversation chat mode as claimed in any one of claims 1 to 3, wherein: the birthday blessing chat comprises the following steps:
step 1: the user selects and sets the birthday of the user from the interface, including year, month and day;
step 2: inquiring users of birthdays of the current day every day;
and step 3: and finding out the corpus with the highest weight and returning the corpus to the client.
6. The artificial intelligence emotion accompanying system of a conversation chat mode as claimed in any one of claims 1 to 3, wherein: the mood chat comprises the following steps:
step 1: the user sends pictures and characters describing the current mood from the interface;
step 2: dynamically calculating the weight of each corpus in the step 1, wherein the weight of each corpus is in direct proportion to the strict degree of an applicable condition and in inverse proportion to the number of times that the corpus is hit by a current user;
and step 3: and finding out the corpus with the highest weight and returning the corpus to the client.
7. The artificial intelligence emotion accompanying system of a conversation chat mode as claimed in any one of claims 1 to 3, wherein: the contextual chat includes the steps of:
step 1: a user selects a scene group added with a certain theme from an interface;
step 2: setting a group nickname of each group member;
and step 3: setting the nickname of the user in the group;
and 4, step 4: and the background pushes character chatting records to the user according to the creativity of the operators and displays the character chatting records on a group chatting interface.
8. The artificial intelligence emotion accompanying system of a conversation chat mode as claimed in any one of claims 1 to 3, wherein: the information prompting chat comprises the following steps:
step 1: a user selects a specific virtual AI;
step 2: some event that the system matches to this virtual AI;
and step 3: and generating an information medium and sending the information medium to the user in a way of virtual character speaking.
9. The artificial intelligence emotion accompanying system of a conversation chat mode as claimed in any one of claims 1 to 3, wherein: the AI tutoring comprises the following steps:
step 1: a user selects a specific virtual AI;
step 2: selecting chat types including accounting chat, mood chat, birthday blessing chat and scene chat;
and step 3: submitting corresponding media information;
and 4, step 4: other users receive the message;
the free chat includes the following steps:
step 1, inputting a word to be spoken by a user;
step 2, calculating the sentence similarity based on doc2vec, and judging the mood and the intention of the user by using the LSTM in deep learning;
and 3, giving a corresponding reply.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
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CN112613942A (en) * | 2020-12-17 | 2021-04-06 | 上海自古红蓝人工智能科技有限公司 | Emotion accompanying type gift receiving system based on artificial intelligence and gift distribution method |
CN112632243A (en) * | 2020-12-17 | 2021-04-09 | 上海自古红蓝人工智能科技有限公司 | Artificial intelligence emotion accompanying word learning system in conversation and chat mode |
CN112882481A (en) * | 2021-04-28 | 2021-06-01 | 北京邮电大学 | Mobile multi-mode interactive navigation robot system based on SLAM |
CN117457137A (en) * | 2023-12-22 | 2024-01-26 | 江西拓世智能科技股份有限公司 | Management method and management device for AI accompanying digital person for sick old people |
CN117457137B (en) * | 2023-12-22 | 2024-05-31 | 江西拓世智能科技股份有限公司 | Management method and management device for AI accompanying digital person for sick old people |
-
2020
- 2020-05-23 CN CN202010444585.1A patent/CN111611269A/en not_active Withdrawn
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112613942A (en) * | 2020-12-17 | 2021-04-06 | 上海自古红蓝人工智能科技有限公司 | Emotion accompanying type gift receiving system based on artificial intelligence and gift distribution method |
CN112632243A (en) * | 2020-12-17 | 2021-04-09 | 上海自古红蓝人工智能科技有限公司 | Artificial intelligence emotion accompanying word learning system in conversation and chat mode |
CN112882481A (en) * | 2021-04-28 | 2021-06-01 | 北京邮电大学 | Mobile multi-mode interactive navigation robot system based on SLAM |
CN117457137A (en) * | 2023-12-22 | 2024-01-26 | 江西拓世智能科技股份有限公司 | Management method and management device for AI accompanying digital person for sick old people |
CN117457137B (en) * | 2023-12-22 | 2024-05-31 | 江西拓世智能科技股份有限公司 | Management method and management device for AI accompanying digital person for sick old people |
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