Towards a Support System for Brainstorming Based Content-Based Information Extraction and Machine Learning

Autor:	Tarek Ait Baha, Youssef Es-Saady, Mohamed El Hajji, Asmaa Cheddak
Rok vydání:	2021
Předmět:	Service (systems architecture) Computer science media_common.quotation_subject computer.software_genre Creativity Information extraction Work (electrical) Brainstorming Human–computer interaction Support system Architecture Content (Freudian dream analysis) computer media_common
Zdroj:	Business Intelligence ISBN: 9783030765071 CBI
Popis:	Brainstorming is an effective technique for seeking out ideas on a specific issue that can be expressed shortly and powerfully and then determine the best solution. As a method, It is especially popular in areas that rely on creativity such as industry and advertising. Many solutions are created in the service of digital brainstorming to enable better management, however, literature still reports that these techniques offer only partial solutions in themselves. In this work, we present an architecture of a support system for brainstorming activities based on content-based information extraction and Natural Language Processing. First results show that it is possible to make decisions automatically or to effectively help the user to make the right decisions.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c845ad965b9f7e16edcf7a451a104781 https://doi.org/10.1007/978-3-030-76508-8_4 Zobrazit plný text záznamu