Source Code for Writeup

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\begin{itemize}
    \item \textbf{Title of the Project: }{Fake News
    Detection System}

    \item \textbf{Name of the Supervisor}:{ Dr. Deepak Kumar Singh}

    \item \textbf{Abstract}:{Recently, fake news has been incurring many problems to our society. As a result, many researchers have been working on identifying fake news. Most of the fake news detection systems utilize the linguistic feature of the news. However, they have difficulty in sensing highly ambiguous fake news which can be detected only after identifying meaning and latest related information. In this paper, to resolve this problem, we shall present a new Korean fake news detection system using fact DB which is built and updated by human's direct judgement after collecting obvious facts. Our system receives a proposition, and search the semantically related articles from Fact DB in order to verify whether the given proposition is true or not by comparing the proposition with the related articles in fact DB. To achieve this, we utilize a deep learning model, Bidirectional Multi-Perspective Matching for Natural Language Sentence(BiMPM), which has demonstrated a good performance for the sentence matching task. However, BiMPM has some limitations in that the longer the length of the input sentence is, the lower its performance is, and it has difficulty in making an accurate judgement when an unlearned word or relation between words appear. In order to overcome the limitations, we shall propose a new matching technique which exploits article abstraction as well as entity matching set in addition to BiMPM. In our experiment, we shall show that our system improves the whole performance for fake news detection.}

    \item \textbf{Learning Objectives}:

\begin{itemize}
    %\item \textit{What knowledge they acquire}:
    \item \textbf{\emph {Knowledge to Acquire}}:

    \noindent
    {Machine Learning Algorithms:
    }
     \\*
    1.  Logistic Regression
     \\*
    2. Support Vector Machine
     \\*
    3. Multilayer Perceptron
     \\*
    4. K-Nearest Neighbors (KNN)

    %\item \textit{What skills they acquire}:
    \item \textbf{\emph {Skills to Acquire}}:

    \noindent
    {1. Python
    \\*
    2. Google Colab
     \\*
    3. Git/GitHub
     \\*
    4. Latex

    }
    %\item \textit{What competences they acquire}:
    \item \textbf{\emph {Competences to Acquire}}:

    \noindent
    {N/A}

    \item \textbf{\emph {Attempting to solve any Research Problem?}}:

    \noindent
    Yes
    \\*

    \item \textbf{\emph {Overview of Research Problem/Project}}:

    \end{itemize}

    \item \textbf{Signature of all the students along with the signature of their supervisor}
\end{itemize}

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Date: \today


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