A SYSTEM THAT COLLECTS FEEDBACK ON TV PLATFORMS USING ARTIFICIAL INTELLIGENCE.

Abstract

This invention relates to a system (1) that connects with at least one media platform offering audio and video media content services, and enables the improvement of media content enhancement processes by combining the audio, visual, and written feedback of the user (U) who watches and / or listens to the said media content with facial recognition technology and sentiment analysis.

Description

1 TARIFF AI-POWERED FEEDBACK ON TV PLATFORMS A SYSTEM THAT COLLECTS Technical Area This invention provides services for at least one media company that offers audio and video media content. those who connect with the platform, view the media content in question and / or with audio, visual, and written feedback from the listening user, facial recognition Improving media content by combining technology and sentiment analysis It is related to a system that enables the improvement of processes. 10 Previous Technique Today, media content ranges from various TV broadcasting platforms to the internet. It is offered to users through video streaming applications that broadcast over the platform. 15 Users can like or dislike the content they watch by using the like and dislike buttons. It is scoring. The relevant content creators are receiving likes and likes from users. They make changes to their own media content over time based on feedback they receive. is able to do so. In the known state of the art, the media the user has watched or listened to in the past. collecting data related to their content, analyzing the collected historical data more relevant media content for the user via that platform Various solutions have been found that allow for recommendations to be made to the user. However, in the current state of the technology, voice feedback, facial recognition, and written feedback are possible. feedback data from multiple communication channels in the form of notifications the collection of user data, real-time facial recognition, voice 2 By conducting a tone analysis, the user's emotional state is determined, and the user's feedback... notification data, real-time mood information, social media interaction by analyzing their information together through artificial intelligence algorithms the instantaneous modification of the media content consumed by the user, and the changes in the relevant content No solution has been found that allows scenes to be skipped or altered. 5 Australian patent number AU2018204372, which is included in the prior art. the document is based on vectors generated using feature word embeddings. A digital environment is described to facilitate the proposals. The recommendation system requires a user profile, at least one item, user profile, and at least 10 data that defines at least one attribute for the interaction between an element The recommendation system uses natural language processing to analyze each user profile. its attribute, each element, and each connection between a user profile and an element. associating interaction as a word and forming words into sentences It combines user profile attributes, elements, explicit and implicit 15 sentences. feature vector presentations that describe the relationships between interactions It serves as input to a word embedding model for determination. Feature vector From their presentations / representations, the suggestion system is a comparison of different characteristics. It identifies similarities. Thus, the recommendation system detects any past interactions. 20 based on implicit interactions, even for a user profile not associated with data. It can provide customized recommendations. In this invention, the recommendations have a specific characteristic. The suggestion system ensures that it is properly customized for the user. behavior as an ongoing conversation / chat using NLP techniques It is modeling. Brief Description of the Invention The purpose of this invention is to provide feedback in the form of voice feedback, facial recognition, and written feedback. collecting feedback data from multiple communication channels, collected By performing facial recognition and voice tone analysis in real time from user data, 30 3 determining the user's emotional state, user feedback data, AI-powered real-time mood information and social media interaction data. media consumed by the user is analyzed together through algorithms. the content being changed in real time, scenes in the relevant content being skipped, or 5 that enable changes and collect feedback with artificial intelligence on TV platforms It is about creating a system. Detailed Description of the Invention The "Artificial Intelligence in TV Platforms 10" project was carried out to achieve the purpose of this invention. "A System That Collects Feedback" is shown with figures, and these figures are: Figure 1: The invention is a system that collects feedback from TV platforms using artificial intelligence. This is a schematic view of the system. The parts shown in the figure are individually numbered, and the corresponding numbers correspond to these numbers. It is given below. 1. System 2. Electronic device 20 3. Application 4. Database 5. Analytics server U. User At least one media company that provides audio and video media content services. those who connect with the platform, view the media content in question and / or with audio, visual, and written feedback from the listening user (U), facial recognition Improving media content by combining technology and sentiment analysis 4 artificial intelligence in TV platforms, the subject of the invention, enables the development of processes. a system that collects feedback (1); - enabling the user (U) to communicate with other people, the hardware on it with at least one configured to capture the user's facial image electronic device (2), 5 - electronic device (2) operated on the user's (U) audio and visual at least enable them to access media content on a TV platform and related to enable the user (U) to watch the media content in question, verbal and written feedback given by user (U) while watching the media content in question At least one application configured to access notification information (3), 10 - the user (U) who connects with the application (3) and is registered in the application (3) information about the past media content consumed and / or watched by the user (U) verbal and written feedback given while watching (3) media content in the application at least one database (4) configured to store its information and - connecting with the database (4), application (3), on which at least one 15 interaction module, data collection and processing module, artificial intelligence module, content recommendation and personalization module and real-time feedback module to run, the application (3) connects with the user's (U) media content voice commands, text-based comments, and social media posts made while watching or listening access to information in the form of written interactions in the media, application (3) 20 verbal feedback given by user (U) while watching media content transmitted via notifications and the user's (U) face image transmitted by the electronic device (2). By combining and analyzing user data using artificial intelligence algorithms To enable the determination of mood and media content viewing behavior, the user's (U) specified emotional state, content viewing behavior, audio or 25 written feedback, social media interaction data By processing it with artificial intelligence algorithms, it provides user-appropriate media. To ensure that the content is recommended through the application (3), reinforcement learning with algorithms or models the user's real-time emotional state According to the content recommendations, the user (U) 30 skipping scenes in the relevant content that it watches via application (3) or at least one analytics server configured to enable modification (5) It includes. The invention is based on the hardware located on the electronic device (2) in the system (1). To run the application (3), the user (U) must have access to at least one social media service. enabling the connection and interaction of the user (U) on the relevant social service mobile phones, tablets, and computers configured to enable this. It is a smart device in the form of a smart device. The application in the system (1) includes the camera (2) in the electronic device (3) triggering the facial images of the user (U) while they are watching media content It is configured to transmit to the analysis server (5). Interaction on the analysis server (5) located in the system (1) which is the subject of the invention 15 Thanks to the module, the user receives audio and written feedback from the application (3) By processing user (U) media notifications with language processing algorithms, When the user (U) says "This movie was very boring" while watching its content, the user's negative response is It is structured to enable the determination of the emotional state. Analysis By running the interaction module on the server (5), the user (U) application 20 (3) facial images transmitted via artificial intelligence facial recognition algorithms by enabling the processing of the media content on the application (3) by the user (U). If the user (U) is smiling while watching, it means the user (U) is happy. to enable the determination of the media content to be delivered to the user (U). 25 whether the relevant user (U) is happy with the personalization of the suggestions It is structured to enable the use of information in this form. Analysis by running the data collection and processing module on the server (5), the user (U) verbal, written feedback while watching media content via application (3). Data such as notifications and social media interactions are processed by various algorithms. by cleaning up user (U) verbal, written feedback and social media 30 6 to make their interactions understandable is being configured. The analysis server (5) connects to the application (3). User's (U) time on past and current media content types processing the relevant user's (U) media content type with series algorithms to enable tracking how preferences change, so that user (U) 5 a few weeks ago on the application (3) action type media content while watching, current media content in the romantic comedy genre If directed, the trends of the relevant user (U) in the new media content genre are identified. It is configured to enable this. It is located on the analysis server (5). Run the field artificial intelligence module and find the user (U) 10 in the database (4). Media content preference information, mood analysis results, and various artificial intelligence systems. by processing the feedback data obtained from the relevant user (U) using algorithms suggestions regarding media content types registered in the database (4) It is configured to enable its production. On the analysis server (5) By running the content recommendation and personalization module, you can get 15 from the AI ​​module. transmitted emotional state information of the relevant user (U), suggestions to be made to user (U) Information on media content types, the user's (U) past application (3) information about the media content watched by the user (U) in the application (3) registered profile information, the user's (U) written and visual interactions on social media services It gathers this information, processes it using artificial intelligence algorithms, and provides the relevant user with 20... (U) is structured to recommend personalized media content. Analysis by running the real-time feedback module on the server (5) the user's (U) social media interactions, at least one (3) in the application The words and facial expressions of the user (U) while watching media content 25 (3) media content that the app likes, with various artificial intelligence algorithms by processing media content suggestions based on the user's (U) emotional state. It is being configured to allow for changes. Industrial application of the invention 7 In the system subject to the invention, (1) the user (U) electronic device (2) works on Thanks to the application (3), you can watch different types of media content, can listen. The application (3) allows the user to listen to (U) media content. It transfers their likes, words spoken, and facial images to the database (4). With various AI-powered algorithms located on the analysis server (4) 5 the feeling of the user (U) while watching the media content (3) in the application to determine the situation, the user's (U) written feedback on social media It analyzes this. In this way, it provides the user (U) with personalized media content. suggestions are created and suggestions are sent to the user (U) via application (3) is being sent. 10 The system (1) in question provides voice feedback, facial recognition, and written feedback. Collecting feedback data from multiple communication channels such as this, Real-time facial recognition, voice tone recognition from collected user (U) data. By conducting an analysis, the user's emotional state is determined, the user's (U) return 15 notification data, real-time mood information, social media interaction by analyzing their information together through artificial intelligence algorithms real-time modification of the media content consumed by the user (U), relevant Scenes within the content can be skipped or altered. The system in question (1) is within the scope of the Personal Data Protection Law (KVKK). It operates. Therefore, all feedback data belonging to the user (U) a confirmation notification to the user (U) via the application (3) before processing being sent, personalized for the relevant user (U) if user (U) gives consent. The process of identifying media content is ongoing. 25 The invention is a system that collects feedback using artificial intelligence on TV platforms. (1) it is possible to develop a wide variety of applications of the invention described herein It cannot be limited to examples; it is essentially as stated in the requests.

Claims

8 REQUESTS 1. At least one media company that provides audio and video media content services. those who connect with the platform, view the media content in question and / or with audio, visual, and written feedback from the listening user (U), face recognition 5 Improving media content by combining technology and sentiment analysis enabling the improvement of processes; - enabling the user (U) to communicate with other people, the hardware on it with at least one configured to capture the user's facial image containing electronic devices (2), 10 - electronic device (2) operated on the user's (U) audio and visual at least enable them to access media content on a TV platform and related to enable the user (U) to watch the media content in question, verbal and written feedback given by user (U) while watching the media content in question At least one application configured to access notification information (3), 15 - the user (U) who connects with the application (3) and is registered in the application (3) information about the past media content consumed and / or watched by the user (U) verbal and written feedback given while watching (3) media content in the application at least one database (4) configured to store its information and - connecting with the database (4), application (3), on which at least one 20 interaction module, data collection and processing module, artificial intelligence module, content recommendation and personalization module and real-time feedback module to run, the application (3) connects with the user's (U) media content voice commands, text-based comments, and social media posts made while watching or listening access to information in the form of written interactions in the media, application (3) 25 verbal feedback given by user (U) while watching media content transmitted via notifications and the user's (U) face image transmitted by the electronic device (2). By combining and analyzing user data using artificial intelligence algorithms To enable the determination of mood and media content viewing behavior, the user's (U) specified emotional state, content viewing behavior, audio or 30 9 written feedback, social media interaction data By processing it with artificial intelligence algorithms, it provides user-appropriate media. To ensure that the content is recommended through the application (3), reinforcement learning with algorithms or models the user's real-time emotional state According to the content recommendations, the user (U) 5 skipping scenes in the relevant content that it watches via application (3) or with at least one analytics server (5) configured to enable its modification a TV platform characterized by collecting feedback with artificial intelligence system (1).

2. To run the application (3) with the hardware on it, the user (U) must at least enable the user (U) to connect to a social media service and provide relevant structured to enable interaction on social media services electronic devices (2) which are smart devices in the form of mobile phones, tablets, and computers AI feedback on TV platforms, as characterized in Claim 1. a collecting system (1).

3. By triggering the camera (2) on the electronic device, the user's (U) media content to transmit the facial images it is watching to the analysis server (5) tv 20 as in Claim 1 or 2 characterized by the configured application (3). a system that collects feedback with artificial intelligence on its platforms (1).

4. Thanks to the interaction module on it, the user (U) receives from the application (3). By processing audio and written feedback using natural language processing algorithms, the user When (U) says "This movie was very boring" while watching media content, the relevant user's 25 (U) analysis structured to enable the identification of negative emotional states as in any of the above requests characterized by its server (5) a system that collects feedback with artificial intelligence on tv platforms (1).

5. By running the interaction module on it, the user (U) application (3) facial images transmitted via the system are processed by artificial intelligence facial recognition algorithms. by enabling the processing of the media content on the application (3) by the user (U). If the user (U) is smiling while watching, it means the user (U) is happy. to ensure that the media content to be delivered to the user (U) is determined. whether the relevant user (U) is happy with the personalization of the suggestions an analytics server configured to enable the use of information in this form As in any of the above requests characterized by (5), tv a system that collects feedback with artificial intelligence on its platforms (1).

6. By running the data collection and processing module on it, the user (U) verbal and written feedback while watching media content via application (3) Data such as notifications and social media interactions are processed by various algorithms. by cleaning up user (U) verbal, written feedback and social media Analysis structured to make their interactions understandable 15 as in any of the above requests characterized by its server (5) a system that collects feedback with artificial intelligence on tv platforms (1).

7. By connecting with the application (3), the user's (U) past and current processing media content types using time series algorithms on relevant 20 tracking how user (U) media content type preferences change to ensure that the user (U) takes action on the application (3) a few weeks ago While watching media content of this genre, currently romantic comedy is the most popular. If the user (U) is directed to media content, then the relevant user (U) is in the new media content type. with analysis server (5) configured to enable the detection of trends 25 TV as in any of the above characterized requests a system that collects feedback with artificial intelligence on its platforms (1).

8. Run the artificial intelligence module on it and find the database (4) User's (U) media content preference information, mood analysis results 30 11 by processing the feedback obtained from the relevant user (U) using various artificial intelligence algorithms According to the notification data, the media content types registered in the database (4) with the analysis server (5) configured to enable the generation of recommendations TV as in any of the above characterized requests a system that collects feedback with artificial intelligence on its platforms (1). 5 9. By activating the content recommendation and personalization module on it, the artificial intelligence The emotional state information of the relevant user (U) transmitted from the module to the user (U) Information about the types of media content to be suggested, the user's (U) past application (3) information about the media content that the user (U) watches through the application (3) 10 registered profile information, written and visual content of the user (U) on social media services By gathering interaction information and processing it with artificial intelligence algorithms, it provides relevant insights. configured to recommend personalized media content to the user (U) any of the above requests characterized by the analysis server (5) a system that collects feedback with artificial intelligence on TV platforms, like in one of them 15 (1).

10. By running the real-time feedback module on it, the user (U) their social media interactions, at least one media content in the application (3). while watching, the words and facial expressions said by the user (U) in the application (3) 20 by processing the media content it likes using various artificial intelligence algorithms To modify media content recommendations based on the user's (U) mood. The above is characterized by the analysis server (5) which is configured for the above. AI feedback on TV platforms, as in any of the requests. a collecting system (1). 25

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