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The student is asked to research about email spam detection methodology and to implement one of the research methods as a software code. The student has chosen SVM (Support Vector Machine) in order to implement it on a real system for the test.
What i ask from EssayBox is to handle the literature review part and the student will develop the code by himself and integrate the results in the paper.
The literature review should include research about Spam in general, email spam , SVM (Support Vector machine) in general, and Spam detection using SVM (Support Vector machine). The literature review should also include other accreditable work results in order for the student to integrate his results and algorithm in the literature review.
The student will not develop new kind of SVM algorithm, but he will implement the usual common SVM algorithm, this information can help the writer in explaining the used algorithm.
The paper writer have the freedom to define the problem, brief description and other parts which does not interfere with the student software.
The paper should be written in ACL format:
http://www.ling.ohio-state.edu/acl08/stylefiles.html.
The output format should be in docx and latex.
The below is the structure of the paper:
Executive summary: A summary that describes the contents of the report.
Introduction: An introduction to the problem, with a brief description of the problem you are addressing, motivation (why the problem is important, what are possible applications), examples that illustrate the problem, research questions.
Related work: An overview of previous related work on the problem you are addressing. You should aim to review at least 10 related papers, ideally more. You have to link the research questions to the literature review.
Method: A detailed description of the proposed algorithm (or research
methodology), starting with the main idea, an explanation of why you think this should work, examples of how the algorithms work, etc. Anything that you think would be relevant to explain the algorithm should be included in this section. Ideally, somebody else should be able to replicate your algorithm just by reading this section. Do not include code; at most, you can include some pseudo-code of your algorithm, if you feel that would make the algorithm description more clear. The section should be a proposal to answer the research questions.
Evaluation: An evaluation of your algorithm on a gold-standard data set. Describe the data set, how it was created (or include a reference to previous work, if the data set was created by other people), provide some statistics relevant to the characteristics of the data set.
Discussion of results: A discussion of the evaluation, including an analysis of the errors that are not solved, examples of what worked and what did not, possible explanations for observed errors. Formulated answers of the research questions.
Conclusions and future work: The conclusions you draw from your
experiments, how you answered the research questions, possible comparison with related research, and improvements/recommendations you could make in future work.
ACL Bibliography & Citations: Properly cite papers you included in the
reference section. You have to make acceptable coverage from the literature.
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