Nov 17, 2023 · This paper aims to build a recommender system that maps a given input query to a suitable LO based on the most appropriate matching of learning contents.
Dec 21, 2023 · This paper aims to build a recommender system that maps a given input query to a suitable LO based on the most appropriate matching of learning ...
A recommender system that maps a given input query to a suitable LO based on the most appropriate matching of learning contents, which employs an ...
The machine learning model is trained on a handcrafted dataset to map queries into predefined topics. The proposed algorithm also leverages a dynamic topic ...
Jun 2, 2017 · I want to label some documents, I tried the LDA algorithm but the results were too messy. I decided to use a supervised approach, so I created my own topic- ...
Missing: Learner's Techniques.
Ontology, BiLSTM, and context mapping are used for learner modelling and topic classification, and identifying suitable learning materials, respectively.
Nov 22, 2019 · Is there any way I can map generated topic from LDA to the list of documents and identify to which topic it belongs to?
Jun 15, 2023 · In this article, you will study topic modeling which can help to gain insights from large amounts of text data quickly and efficiently.
This paper investigates the topic modeling subject and its common application areas, methods, and tools. Also, we examine and compare five frequently used ...
Dec 19, 2024 · A practical guide to perform topic modeling in python. Which are the various ways to improve the results such as frequency filter, ...