Method and system for processing experience digital contents
A method of processing experience-content data within natural language narratives comprises the steps of: capturing experience-content data from of one or more sources of information, analyzing the captured experience-content data so as to identify narrative structures, and linking each of the identified narrative structures to an actant category among a set of predetermined actant categories constituting an actantial scheme. The capturing step implements a conversational agent that is programmed to capture additional experience-content data, until all actant categories of the actantial scheme are filled with captured experience-content data.
1 . A method of producing an experiential blockchain from processing experience-content data within natural language narratives provided by a user as multimedia content, comprising the steps of:
capturing experience-content data (i) from the multimedia content and (ii) as answers provided by the user on various media to a plurality of questions automatically asked by a chatbot; the plurality of questions comprising a question about who was a subject of an experience, a question about what was an objective of the experience, a question about who or what was a helper in the experience, and a question about who or what was an opponent in the experience,
analyzing the captured experience-content data to identify narrative structures using natural language processing, machine learning, and structural semiotics;
linking each of the identified narrative structures to an actant category among subject, object, helper and opponent categories within an actantial model based, at least in part, on detecting, within the experience-content data, one or more markers among a predetermined set of markers based on a nearest neighbor search of the predetermined set of markers, each detected marker linking to an actant category;
capturing additional experience-content data until at least one narrative structure among the identified narrative structures is linked to each of the actant categories,
encrypting the captured experience-content data;
storing the encrypted captured experience-content data as an experiential block of the experiential blockchain responsive to linking each of the identified narrative structures to an actant category;
sharing at least part of the experiential blockchain between a plurality of users responsive to one or more natural language narratives on one or more information media;
wherein each experiential block of the experiential blockchain is ordered according to a logical sequence based, at least in part, on the experience-content data;
wherein the plurality of questions that can be asked by the chatbot comprise a question about who was the subject of an experience, a question about what was the objective of the experience, a question about who or what was the helper in the experience, and a question about who or what was the opponent in the experience; and
wherein the chatbot is programmed to capture additional experience-content data until at least one narrative structure among the identified narrative structures is linked to each of the actant categories.
2 . The method of claim 1 , wherein the analyzing step further includes detecting within the captured experience-content data one or more connectors among a predetermined set of connectors recorded within a connector database.
3 . The method of claim 1 , wherein the analyzing step further includes detecting within the captured experience-content data one or more feeling or emotion markers among a predetermined set of emotion markers within a dictionary of feelings and emotions.
4 . The method of claim 1 , wherein the analyzing step further includes detecting within the captured experience-content data one or more isotopies.
5 . The method of claim 1 , wherein the analyzing step further includes identifying within the captured experience-content data a set of tests comprising, respectively, a qualifying test, a decisive test and a glorifying test, so as to extract from the captured experience-content data proven experiences.
6 . The method of claim 1 , wherein the analyzing step further includes identifying within the captured experience-content data patterns of self-similarity, so as to as to provide fractal dimensions of experiences.
7 . The method of claim 1 , wherein the capturing step further includes capturing experience-content data from at least one social network or website, or an application Web.
8 . The method of claim 1 , further comprising a step of providing to a third party access to the experiential blockchain including experience-content data sharing at least one common marker.
9 . The method of claim 1 , wherein the method is implemented in a web application for travel or accommodation.
10 . The method of claim 1 , wherein the method is implemented in a transport web application.
11 . The method of claim 1 , wherein the method is implemented in a social network.
12 . The method of claim 1 , wherein the method is implemented in an e-commerce web application.
13 . The method of claim 1 , wherein the method is implemented in a foodtech web application.
14 . The method of claim 1 , implemented in a simulation tool.
15 . The method of claim 1 , wherein the method is implemented in an entertainment service.
16 . The method of claim 1 , wherein the method is implemented in a customer experience department.
17 . The method of claim 1 , further including one or more steps of capturing experience-content data as answers provided by the user on various media to a plurality of questions linked to atmosphere and ambiance perceived by the user and automatically asked by the chatbot.
18 . The method of claim 1 , further including one or more steps of capturing experience-content data as answers provided by the user on various media to a plurality of questions linked to emotional and human aspects and automatically asked by the chatbot.