## 3 Dataset Analysis
### Analysis of the Literature
#### 3.4.2. Top 10 Most Cited Papers--A Review  
In the following section, a short review of each paper found in the top 10 most globally cited documents will be provided. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**No.**} & **Paper (First Author, Year,** & **Number of** & **Total Citations** & **Total Citations** & **Normalized TCs** \\  & **Journal, Reference)** & **Authors** & **Region** & **(TCs)** & **per Year (TCYs)** & **(NTCs)** \\ \hline \multirow{2}{*}{1} & [PERSON], 2015, _Knowledge-Based_ & \multirow{2}{*}{2} & \multirow{2}{*}{India} & \multirow{2}{*}{675} & \multirow{2}{*}{67.50} & \multirow{2}{*}{7.96} \\  & _Systems,_[30] & & & & & \\ \hline \multirow{2}{*}{2} & [PERSON], 2018, _Management_ & \multirow{2}{*}{3} & \multirow{2}{*}{USA} & \multirow{2}{*}{389} & \multirow{2}{*}{55.57} & \multirow{2}{*}{12.08} \\  & _Science,_[35] & & & & & \\ \hline \multirow{3}{*}{3} & [PERSON], 2015, _Journal of_ & \multirow{3}{*}{5} & \multirow{3}{*}{USA} & \multirow{3}{*}{299} & \multirow{3}{*}{29.90} & \multirow{3}{*}{3.52} \\  & _the American Medical_ & & & & & \\ \cline{1-1}  & _Informatics Association,_[36] & & & & & \\ \hline \multirow{3}{*}{4} & [PERSON], 2018, _ACM_ & \multirow{3}{*}{5} & \multirow{3}{*}{USA} & \multirow{3}{*}{299} & \multirow{3}{*}{29.90} & \multirow{3}{*}{3.52} \\  & _Computing Surveys,_[37] & & & & & \\ \hline \multirow{3}{*}{5} & Aiello LM, 2013, _IEEE_ & \multirow{3}{*}{9} & Spain, & \multirow{3}{*}{250} & \multirow{3}{*}{20.83} & \multirow{3}{*}{3.87} \\  & _Transactions on Multimedia,_[38] & & & & & \\ \hline \multirow{3}{*}{6} & Middleton SE, 2014, _IEEE_ & \multirow{3}{*}{3} & \multirow{3}{*}{UK} & \multirow{3}{*}{238} & \multirow{3}{*}{21.64} & \multirow{3}{*}{3.89} \\  & _Intelligent Systems,_[39] & & & & & \\ \hline \multirow{3}{*}{7} & Li LF, 2020, _IEEE Transactions_ & \multirow{3}{*}{9} & China, & \multirow{3}{*}{232} & \multirow{3}{*}{46.40} & \multirow{3}{*}{10.92} \\  & _on Computational Social_ & & Hong Kong & & & \\ \hline \multirow{3}{*}{8} & [PERSON], 2020, _Journal of_ & \multirow{3}{*}{2} & USA & \multirow{3}{*}{228} & \multirow{3}{*}{45.60} & \multirow{3}{*}{10.73} \\  & _Marketing Research,_[41] & & & & & \\ \hline \multirow{3}{*}{9} & Sarker A, 2015, _Journal of_ & \multirow{3}{*}{2} & USA & \multirow{3}{*}{211} & \multirow{3}{*}{21.10} & \multirow{3}{*}{2.49} \\  & _Biomedical Informatics,_[42] & & & & & \\ \hline \multirow{3}{*}{10} & Gu YM, 2016, _Transportation_ & \multirow{3}{*}{3} & USA & \multirow{3}{*}{210} & \multirow{3}{*}{23.33} & \multirow{3}{*}{4.78} \\  & _Research Part C: Emerging_ & \multirow{3}{*}{3} & USA & \multirow{3}{*}{210} & \multirow{3}{*}{23.33} & \multirow{3}{*}{4.78} \\  & _Technologies,_[43] & & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Top 10 most globally cited documents. The article that holds the title of the most cited manuscript in the scientific literature around the area of natural language processing in social media research is the one written by [PERSON] [30], whose relevance and popularity are suggested by the extraordinary number of 675 recorded citations. The article brings to the fore a thorough examination of the papers addressing sentiment analysis, published over a wide period of time--namely 12 years, between 2002 and 2014--emphasizing the methods considered, the datasets used, the techniques of machine learning, and the issues encountered. Therefore, the article is an extremely good guide for researchers who want to have a broad perspective on this domain, along with the matters that require more investigation and potential future work directions. The research conducted by [PERSON] et al. [35] ranks in the second position at the top, being a comprehensive and excellent investigation, with this hypothesis further supported by the significant amount of citations registered throughout the scientific community.