ارائه مدلی برای استخراج اطلاعات از مستندات متنی، مبتنی بر متن¬کاوی در حوزه یادگیری الکترونیکی
محورهای موضوعی : عمومىاحمدآقا کاردان 1 , مینا کیهانی نژاد 2
1 - Assistant Professor
2 - دانشگاه صنعتی امیرکبیر
کلید واژه: داده¬کاوی, متن¬کاوی, آموزش الکترونیکی, یادگیری الکترونیکی, سیستم مدیریت یادگیری ,
چکیده مقاله :
هنگامی که شبکه های کامپیوتری ستون اصلی علم و اقتصاد شد، حجم زیادی از مستندات در دسترس قرار گرفتند. به همین منظور، برای استخراج اطلاعات مفید از روش های متن کاوی استفاده می شود. متن کاوی یک حوزه پژوهشی مهم در کشف اطلاعات ناشناخته، فرضیات، و حقایق جدید به وسیله استخراج اطلاعات از اسناد مختلف است. همچنین متن کاوي آشکار کردن اطلاعات پنهان با استفاده از روشي است که در يک طرف توانايي مقابله با تعداد زيادي کلمات و ساختارهايي در زبان طبيعي را نشان مي‌دهد و از طرف ديگر اجازه مديريت ابهام و شک را می دهد. علاوه بر آن، متن کاوی به عنوان داده کاوی متن بیان می شود که معادل با تجزیه و تحلیل متون است و به فرایند استخراج اطلاعات از متن می پردازد و اطلاعات با کیفیت بالا را از میان الگوها و فرایندها استخراج می کند. همچنین به عنوان داده کاوی متن یا کشف دانش از پایگاه داده های متنی شناخته می شود و به فرایند استخراج الگوها یا دانش از اسناد متنی بیان می شود. روش تحقیق در این کار بدین صورت است که ابتدا به بررسي پژوهش‌های انجام شده در حوزه متن کاوی با تأکید بر روش ها و کاربردهای آن در آموزش الکترونیکی پرداخته شد. در طی این مطالعات، پژوهش های مرتبط در حوزه آموزش الکترونیکی طبقه بندی گردیدند. پس از طبقه بندی پژوهش‌ها، مسائل و راهکارهای مرتبط با مسائل مطرح شده در آن کارها، استخراج شدند. در همین راستا، در این مقاله ابتدا به تعریف متن کاوی پرداخته می‌شود. سپس فرایند متن کاوی و حوزه های کاربرد متن‌کاوی در آموزش الکترونیکی مورد بررسی قرار می‌گیرند. در ادامه روش‌های متن کاوی معرفی شده و تک تک این روش‌ها در حوزه آموزش الکترونیکی مطرح می‌گردد. در انتها ضمن استنتاج نکات مهم مطالعات انجام شده، مدلی جهت استخراج اطلاعات برای بهره‌برداری از روش‌های متن کاوی در یادگیری الکترونیکی پیشنهاد می شود.
۱٬۵۸۱ / ۵٬۰۰۰ When computer networks became the mainstay of science and economics, a large amount of documentation became available. For this purpose, text mining methods are used to extract useful information. Text mining is an important research field in discovering unknown information, hypotheses, and new facts by extracting information from various documents. Also, text mining is revealing hidden information using a method that shows the ability to deal with a large number of words and structures in natural language on the one hand, and allows the management of ambiguity and doubt on the other hand. In addition, text mining is defined as data mining of text, which is equivalent to text analysis and deals with the process of extracting information from text and extracting high quality information from patterns and processes. It is also known as text data mining or knowledge discovery from text databases and is defined as the process of extracting patterns or knowledge from text documents. The research method in this work is as follows: firstly, the research conducted in the field of text mining was investigated with an emphasis on its methods and applications in electronic education. During these studies, related researches were classified in the field of e-learning. After classifying the researches, issues and solutions related to the issues raised in those works were extracted. In this regard, in this article, the definition of text mining will be discussed first. Then the process of text mining and the fields of application of text mining in e-learning are examined. In the following, text mining methods are introduced and each of these methods is discussed in the field of electronic education. At the end, while deducing the important points of the conducted studies, a model for extracting information for the use of text mining methods in e-learning is proposed.
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