{"id":1647,"date":"2025-07-01T13:30:26","date_gmt":"2025-07-01T04:30:26","guid":{"rendered":"https:\/\/www.aicritique.org\/us\/?page_id=1647"},"modified":"2025-07-01T13:53:17","modified_gmt":"2025-07-01T04:53:17","slug":"special-contents-conceptminer-for-supporting-creativity-2","status":"publish","type":"page","link":"https:\/\/www.aicritique.org\/us\/special-contents-conceptminer-for-supporting-creativity-2\/","title":{"rendered":"Special Contents: ConceptMiner for supporting creativity 2"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<p><a href=\"https:\/\/www.aicritique.org\/us\/special-contents-concept-mapping-for-supporting-creativity\/\" data-type=\"page\" data-id=\"1446\">Take a Creative Jump!<\/a><br><a href=\"https:\/\/www.aicritique.org\/us\/special-contents-conceptminer-for-supporting-creativity-2\/\" data-type=\"page\" data-id=\"1647\">Overview of ConceptMiner<\/a><br><a href=\"https:\/\/www.aicritique.org\/us\/special-contents-conceptminer-for-supporting-creativity-3\/\" data-type=\"page\" data-id=\"1654\">Free Share Model Links<\/a><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">Overview of ConceptMiner<\/h2>\n\n\n\n<p>ConceptMiner consists of the following subsystems:<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">FactCollector<\/h2>\n\n\n\n<p>It collects textual information according to user-defined themes in the following ways (API keys for LLM and DB services are required) :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Competitive Products\/Services<\/strong><br>Explore the market automatically for overview of products and services based on user defined theme, and generate text that describes them using the LLM.<\/li>\n\n\n\n<li><strong>Sensory Experience Descriptions<\/strong><br>Automatically explore food and beverage products on the market and collect sensory experience information for them, which LLM will then transcribe into text.<\/li>\n\n\n\n<li><strong>Online Articles<\/strong><br>Collect summaries of online news articles on user-specified topics. (DB API key required)<\/li>\n\n\n\n<li><strong>Academic Paper Extraction<\/strong><br>Search academic article databases and extract text from abstracts. (DB API key is required)<\/li>\n\n\n\n<li><strong>Patent Information Collection<\/strong><br>Search patent information and collect patent abstract text. (DB API key is required)<\/li>\n\n\n\n<li><strong>Obsidian Markdown<\/strong><br>Convert Obsidian Markdown tables to CSV.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">ConceptMap-Text<\/h2>\n\n\n\n<p>We model text information stored in tabular format in CSV using our own Fuzzy Growing Batch Neural Gas (FGBNG) + Minimum Spanning Tree (MST). The model is ordered by text information only: numeric and categorical attributes can be included in the analysis, but they do not contribute to the model.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">ConceptMap-Data (coming soon)<\/h2>\n\n\n\n<p>This is a derived product, a data mining tool that works with regular numerical and categorical data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">CreativeDiagram (coming soon)<\/h2>\n\n\n\n<p>Based on a network model constructed using ConceptMap-Text, we specify the space between nodes and use AI to infer new concepts corresponding to that space. We generate text such as papers, books, manuals, reports, and patent applications from the network.<\/p>\n<\/div>\n<\/div>\n\n\n\n<p><br><br><br><br>T<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Take a Creative Jump!Overview of ConceptMinerFree Share Model Links Overview of ConceptMiner ConceptMiner consists of the following subsystems: FactCollector It collects textual information according to user-defined themes in the following ways (API keys for LLM and DB services are required)&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1647","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/pages\/1647","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/comments?post=1647"}],"version-history":[{"count":5,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/pages\/1647\/revisions"}],"predecessor-version":[{"id":1660,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/pages\/1647\/revisions\/1660"}],"wp:attachment":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/media?parent=1647"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}