[HTML][HTML] A short-text similarity model combining semantic and syntactic information
Y Zhou, C Li, G Huang, Q Guo, H Li, X Wei - Electronics, 2023 - mdpi.com
As one of the prominent research directions in the field of natural language processing
(NLP), short-text similarity has been widely used in search recommendation and question …
(NLP), short-text similarity has been widely used in search recommendation and question …
An entropy-based corpus method for improving keyword extraction: An example of sustainability corpus
Natural language processing (NLP), a subfield of artificial intelligence (AI), has progressively
influenced corpus-based methods, with keyword extraction often relying on complex NLP …
influenced corpus-based methods, with keyword extraction often relying on complex NLP …
An extended TF-IDF method for improving keyword extraction in traditional corpus-based research: An example of a climate change corpus
LC Chen - Data & Knowledge Engineering, 2024 - Elsevier
Keyword extraction involves the application of Natural Language Processing (NLP)
algorithms or models developed in the realm of text mining. Keyword extraction is a common …
algorithms or models developed in the realm of text mining. Keyword extraction is a common …
[HTML][HTML] University Student Dropout Prediction Using Pretrained Language Models
Predicting student dropout from universities is an imperative but challenging task. Numerous
data-driven approaches that utilize both student demographic information (eg, gender …
data-driven approaches that utilize both student demographic information (eg, gender …
Дослідження та застосування методів NLP для вирішення проблеми холодного старту в рекомендаційних системах
АМ Грішаєва - 2024 - openarchive.nure.ua
Анотація Мета роботи полягає у розробці та аналізі алгоритму рекомендаційної
системи, який ефективно вирішує проблему холодного старту за допомогою …
системи, який ефективно вирішує проблему холодного старту за допомогою …