International Journal of Education and Management Engineering(IJEME)
ISSN: 2305-3623 (Print), ISSN: 2305-8463 (Online)
Published By: MECS Press
IJEME Vol.9, No.6, Nov. 2019
Text Analyzer for Competitive Examination
Full Text (PDF, 325KB), PP.25-34
Competitive examination provide a platform to the user for gauging their verbal and literature skills. The tools available currently only provide some simple feature regarding text processing such as spelling correction and providing different synonyms of the selected words. A complete assessment is not done for the user’s abilities and relevant details related to the context are not taken entirely into consideration. The following paper proposes a way to implement Natural Language Processing on text to provide feedback to the user for their competitive examinations. The assessment of the text will be done according to the parameter such as grammar, vocabulary; relevance to the context.
Some applications for web and mobile platform are available to offer assessment of English language essay but limited academic research available to validate research work in this domain. This work is effort to address requirement of text analyzer for English language evaluation methods incorporating natural language processing.
Cite This Paper
Ashwini Dalvi, Irfan Siddavatam, Sagar Ailani, Smith Dedhia, Shyamal Makwana," Text Analyzer for Competitive Examination", International Journal of Education and Management Engineering(IJEME), Vol.9, No.5, pp.25-34, 2019.DOI: 10.5815/ijeme.2019.06.03
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