“…Furthermore, a Graph and natural language processing-based recommendation system for choosing machine learning algorithms 22 was another related research where the authors have managed to implement a system combining these technologies for creating a Machine learning model for automatically choosing the best ML algorithm needed for a given project. This is done by using Natural language processing to extract keywords from a user input and then using a graph database with "Project Nodes", "Algorithm Nodes" and "Language Nodes" to create a recommendation system based on graph analysis.…”
Section: Nlp ML and Ie For Improving Processesmentioning
confidence: 99%
“…Based on the previous research of using Graph and natural language processing-based recommendation system for choosing Machine Learning Algorithms 22 , a feature where the application can Generate possible technologies to research further from a specific "Research Idea" can be implemented using a ML Model. This research can be used as a starting point.…”
“…Furthermore, a Graph and natural language processing-based recommendation system for choosing machine learning algorithms 22 was another related research where the authors have managed to implement a system combining these technologies for creating a Machine learning model for automatically choosing the best ML algorithm needed for a given project. This is done by using Natural language processing to extract keywords from a user input and then using a graph database with "Project Nodes", "Algorithm Nodes" and "Language Nodes" to create a recommendation system based on graph analysis.…”
Section: Nlp ML and Ie For Improving Processesmentioning
confidence: 99%
“…Based on the previous research of using Graph and natural language processing-based recommendation system for choosing Machine Learning Algorithms 22 , a feature where the application can Generate possible technologies to research further from a specific "Research Idea" can be implemented using a ML Model. This research can be used as a starting point.…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.