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\title{Graduation Project Proposal}
\author{Ahmed Shawky\\Hassan Mohamed\\MennatAllah Hany\\Mostafa Mohamed\\Moamen Ahmed\\Yusuf Hussien}
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\section{Title}
User Type Classification of Tweets with Implications for Event Recognition in English and Arabic Languages.
\section{Introduction}
Twitter has become the social media channel of choice for world leaders as well as organizations to reach large audiences.Consequently, It is beneficial to classify tweets into two user types - organizations and individuals to improve downstream event recognition tasks.
\section{Problem Statement}
The goal of this project is to recognize twitter events according to user type in English and Arabic languages.Individual persons tweets tend to report local events unlike organizations tweets which have wider audience. Mainly we aim to classify the tweets according to their textual content only.However, classification may be supported by some complementary sources of information as profile data. There are some features that could help in the text classification process as sentiment and emotion expression.In addition to, the informal language usage, tweet style and news head line.
\section{Motivation}
The motive behind this idea, is that recent related studies/papers were made by tackling different languages but those in Arabic are limited, papers showed that the maximum accuracy reached for a specific language ranged approximately  between 87 to 89 percent.Thus the objective behind this paper is achieving a high percentage of accuracy by using various advanced techniques and using the Arabic language.
\section{Data sets}
The data sets that are going to be used will be derived from :\\
- Data sets extracted from Twitter API for a suitable period of time\\
- Data sets collected by some researchers who have worked on a similar research paper\\
- Data sets that are generated manually by research group members.
\section{Related Work}
The same project idea was published in a paper\cite{paper} but the research was done targeting English and Spanish Languages.
\begin{thebibliography}{99}

\bibitem{paper}
Lalindra De Silva and Ellen Riloff
{User Type Classification of Tweets with Implications for Event
Recognition}.\\
\url{http://w...content-available-to-author-only...h.edu/~riloff/pdfs/DeSilva-SMWorkshop-ACL14.pdf}

\end{thebibliography}



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