Automated System for Frequently Occurred Exam Questions
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Probabilistic theorems like the Bayes’ theorem are often used
in these models.
Probabilistic relevance model on which it is based
the okapi (BM25) relevance function.
Uncertain inference
Language models
Divergence-from-randomness model
Latent Dirichlet allocation...
automated system for frequently occurred exam ques
probabilistic theorems like the bayes theorem are
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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 02 | Feb 2020 www.irjet.net p-ISSN: 2395-0072
Automated System for Frequently Occurred Exam Questions
Manjusha sanke1, Nihar Pednecar2, Viraj Padwalkar2, Raghavendra Poojary2, Vikas
Vishwakarma2
1Assistant Professor, Department of Information Technology, Shree Rayeshwar Institute of Engineering and
Information Technology Goa, India
2Department of Information Technology, Shree Rayeshwar Institute of Engineering and Information Technology
Goa, India
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Abstract - Education has become an integral part of our 2. LITERATURE SURVEY
society today. This is the reason why examinations play an
important role in testing the performance of the student. 2.1. Information Retrieval System
Generating an effective question bank is a task of great
importance for any educational institute. The traditional Information Retrieval is a field of computer science that
method where lecturers and students manually prepare deals with the representation, storage and access of
question bank, is very challenging, time consuming and mostly information. Information Retrieval deals with organization
inaccurate. In this paper, we present the solution in the form of and retrieval of information from database collections [6]. IR
Automated System for Frequently Occurred Exam Questions. is the process by which a collection of data is searched,
represented and stored for the purpose of knowledge
This web based application will enable lecturers to discovery as a response to a user's request.
automatically generate question bank from existing question
papers in the database in a very short time and also help IR is a component of an information system. An
students. information system must make sure that everybody it is
meant to serve has the information needed to accomplish
Key Words: component, formatting, style, styling, insert tasks, solve problems and make decision, no matter where
(key words) the information is available. An information retrieval system
must actively find out what users need, acquire data resulting
1. INTRODUCTION in a collection and match data with needs. Figuring out the
information that the user needs to solve a problem is
There is a change from manual to automated systems for important for successful retrieval.
various fields of education system by student as well as
teachers. However the main problem is a low quality of 2.2. Information Retrieval Model
question banks generated because of some human factors
such as instability and relatively narrow scope of topics. IR models[8] specify the details of the document
Teachers need to invest a lot of time and energy in composing representation, the query representation and the retrieval
question banks. Also, the concern remains is how the current functionality. Set-theoretic, algorithm, probabilistic, feature
technologies would also help the lecturers automatically based models are the different models in IR.
generate the different sets of questions from time to time
without being concern about repetition. Using this system, 2.2.1. Set-Theoretic model
the same action can be accomplished in minutes.
Set-theoretic models represent documents as sets of
According to the need, a system named as Automated words or phrase. Similarities are usually computed from set-
System for Frequently Occurred Exam Questions is proposed, theoretic operations on those sets. Commons models are:
so as to make the system more efficient, reliable, improve its
quality, and also to reduce the time taken by lecturers in Standard Boolean model
setting the question bank manually. This web based
Extended Boolean model
application will enable lecturers to automatically generate
question bank from existing question papers in the database. Fuzzy retrieval
The system performs all tasks related to question bank,
starting from preparing question bank to printing it. This 2.2.2. Probabilistic model
system is very useful for students as well as lecturers. The
system will help the individuals to generate question bank in Probabilistic models[3] make the process of document
a very short time period thus saving a lot of their precious retrieval as a probabilistic inference. Similarities are obtained
time. as probabilities that a document is related for a given query.
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