文章基本信息

标题：Text Analyzer for Competitive Examination
本地全文：下载
作者：Ashwini Dalvi ; Irfan Siddavatam ; Sagar Ailani 等
期刊名称：International Journal of Education and Management Engineering(IJEME)
印刷版ISSN：2305-3623
电子版ISSN：2305-8463
出版年度：2019
卷号：9
期号：6
页码：25-34
DOI：10.5815/ijeme.2019.06.03
出版社：MECS Publisher
摘要：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.
关键词：GRE; TOEFL; NLP; text processing; topic modeling