Subjective Answer Evaluator
2021 ◽
Vol 9
(11)
◽
pp. 1740-1744
Keyword(s):
Abstract: The automatic assessment of subjective replies necessitates the use of Natural Language Processing and automated assessment. Ontology, semantic similarity matching, and statistical approaches are among the strategies employed. But most of the methods are based on an unsupervised approach. The proposed system uses an unsupervised method and is divided into two modules. The first one is extracting the essential data through text summarization and the second is applying various Natural Language models to the text retrieved from the above step and giving marks to them. Keywords: Automatic Evaluation, NLP, Text Summarization, Similarity Measure, Marks Scoring
Keyword(s):
2014 ◽
Vol 3
(2)
◽
pp. 73
Keyword(s):
2018 ◽
Vol 7
(4.5)
◽
pp. 728
2021 ◽
2019 ◽
Vol 7
◽
pp. 581-596