Evaluating the authenticity of the PowerPoint presentations’ contents using word embedding techniques

In the educational system, assessments are essential for evaluating students’ performance. An evaluation using manual grading is a laborious and time-consuming task and is vulnerable to inconsistencies and inaccuracies. Even though there has been significant research to automate the evaluation of st...

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Veröffentlicht in:	International journal of information technology (Singapore. Online) Jg. 15; H. 4; S. 2303 - 2316
Hauptverfasser:	Borade, J. G., Netak, L. D., Kiwelekar, A. W.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 01.04.2023 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Artificial Intelligence Automation Classification Computer engineering Computer Imaging Computer Science Datasets Deep learning Embedding Essays Image Processing and Computer Vision Language Machine Learning Natural language processing Neural networks Original Research Pattern Recognition and Graphics Performance evaluation Semantic analysis Semantics Similarity Skills Software Engineering Students Support vector machines Vision Words (language) India Cosine similarity Word embedding BERT (bidirectional encoder representations from transformers) TF-IDF (term frequency-inverse document frequency) Feature vector Count vector
ISSN:	2511-2104, 2511-2112
Online-Zugang:	Volltext
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