# LSRM: A New Method for Turkish Text Classification
## 4 Application of the Model
### Experimental Study, Analysis, and Results
Accordingly, these algorithms resulted in an 83.1% classification success rate without using the LSRM method. However, using the LSRM method improved this rate by approximately 3%, achieving an 86.09% suc \begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline \multirow{2}{*}{**Dataset**} & \multirow{2}{*}{**Alg Name**} & \multicolumn{4}{c}{**Original**} & \multicolumn{4}{c}{**LSRM**} \\  & & **ACC** & **FM** & **Precision** & **Recall** & **ACC** & **FM** & **Precision** & **Recall** \\ \hline \multirow{10}{*}{TTC-3600} & Doc2 Vec + CNN & 0.888 & 0.889 & 0.892 & 0.889 & 0.901 & 0.902 & 0.905 & 0.901 \\  & Doc2 Vec + LSTM & 0.881 & 0.882 & 0.887 & 0.882 & 0.906 & 0.907 & 0.909 & 0.907 \\  & Doc2 Vec + GRU & 0.879 & 0.879 & 0.880 & 0.879 & 0.905 & 0.906 & 0.908 & 0.906 \\  & Word2 Vec + CNN & 0.912 & 0.913 & 0.915 & 0.913 & 0.906 & 0.908 & 0.911 & 0.907 \\  & Word2 Vec + LSTM & 0.920 & 0.920 & 0.922 & 0.921 & **0.926** & **0.926** & 0.927 & 0.926 \\  & Word2 Vec + GRU & 0.922 & 0.921 & 0.923 & 0.922 & 0.919 & 0.920 & 0.922 & 0.919 \\  & Glove + CNN & 0.856 & 0.858 & 0.862 & 0.857 & 0.904 & 0.904 & 0.906 & 0.904 \\  & Glove + LSTM & 0.872 & 0.873 & 0.874 & 0.872 & 0.909 & 0.910 & 0.910 & 0.910 \\  & Glove + GRU & 0.869 & 0.870 & 0.874 & 0.869 & 0.905 & 0.905 & 0.907 & 0.906 \\  & FastText + CNN & 0.919 & 0.919 & 0.921 & 0.919 & 0.906 & 0.907 & 0.909 & 0.907 \\  & FastText + LSTM & 0.915 & 0.915 & 0.917 & 0.915 & 0.912 & 0.913 & 0.914 & 0.913 \\  & FastText + GRU & 0.922 & 0.922 & 0.923 & 0.922 & 0.916 & 0.916 & 0.918 & 0.917 \\ \hline \multirow{10}{*}{ULakbirm-v2} & Doc2 Vec + CNN & 0.890 & 0.890 & 0.892 & 0.890 & 0.905 & 0.905 & 0.906 & 0.905 \\  & Doc2 Vec + LSTM & 0.886 & 0.887 & 0.890 & 0.887 & 0.911 & 0.912 & 0.913 & 0.912 \\  & Doc2 Vec + GRU & 0.878 & 0.879 & 0.881 & 0.878 & 0.900 & 0.900 & 0.901 & 0.900 \\  & Word2 Vec + CNN & 0.903 & 0.903 & 0.905 & 0.903 & 0.918 & 0.918 & 0.918 & 0.918 \\  & Word2 Vec + LSTM & 0.888 & 0.889 & 0.892 & 0.888 & 0.915 & 0.915 & 0.915 & 0.915 \\  & Word2 Vec + GRU & 0.901 & 0.901 & 0.902 & 0.902 & 0.913 & 0.913 & 0.915 & 0.913 \\  & Glove + CNN & 0.853 & 0.854 & 0.855 & 0.853 & 0.895 & 0.895 & 0.896 & 0.895 \\  & Glove + LSTM & 0.855 & 0.854 & 0.858 & 0.855 & 0.906 & 0.907 & 0.907 & 0.9907 \\  & Glove + GRU & 0.876 & 0.876 & 0.878 & 0.876 & 0.893 & 0.894 & 0.896 & 0.894 \\  & FastText + CNN & 0.910 & 0.910 & 0.910 & 0.910 & 0.915 & 0.914 & 0.915 & 0.914 \\  & FastText + LSTM & 0.921 & 0.922 & 0.922 & 0.922 & **0.930** & **0.929** & 0.930 & 0.929 \\  & FastText + GRU & 0.920 & 0.920 & 0.921 & 0.920 & 0.923 & 0.923 & 0.923 & 0.923 \\ \hline \multirow{10}{*}{TBTT} & Doc2 Vec + CNN & 0.843 & 0.844 & 0.847 & 0.844 & 0.889 & 0.889 & 0.899 & 0.899 \\  & Doc2 Vec + LSTM & 0.823 & 0.823 & 0.826 & 0.824 & 0.881 & 0.882 & 0.884 & 0.882 \\ \cline{1-1}  & Doc2 Vec + GRU & 0.821 & 0.822 & 0.828 & 0.821 & 0.886 & 0.887 & 0.888 & 0.887 \\ \cline{1-1}  & Word2 Vec + CNN & 0.795 & 0.796 & 0.799 & 0.796 & **0.886** & **0.887** & 0.891 & 0.887 \\ \cline{1-1}  & Word2 Vec + LSTM & 0.770 & 0.777 & 0.770 & 0.771 & 0.858 & 0.860 & 0.871 & 0.859 \\ \cline{1-1}  & Word2 Vec + GRU & 0.785 & 0.785 & 0.785 & 0.786 & 0.863 & 0.864 & 0.869 & 0.864 \\ \cline{1-1}  & Glove + CNN & 0.775 & 0.774 & 0.774 & 0.776 & 0.828 & 0.828 & 0.830 & 0.829 \\ \cline{1-1}  & Glove + LSTM & 0.775 & 0.774 & 0.773 & 0.776 & 0.853 & 0.853 & 0.853 & 0.854 \\ \cline{1-1}  & Glove + GRU & 0.780 & 0.781 & 0.785 & 0.781 & 0.853 & 0.852 & 0.852 & 0.854 \\ \cline{1-1}  & FastText + CNN & 0.833 & 0.832 & 0.832 & 0.834 & 0.886 & 0.887 & 0.891 & 0.887 \\ \cline{1-1}  & FastText + LSTM & 0.818 & 0.816 & 0.815 & 0.819 & 0.858 & 0.860 & 0.871 & 0.859 \\ \cline{1-1}  & FastText + GRU & 0.831 & 0.830 & 0.832 & 0.831 & 0.863 & 0.864 & 0.869 & 0.864 \\ \hline \hline Average & & 0.863 & 0.863 & 0.865 & 0.863 & 0.896 & 0.896 & 0.898 & 0.898 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Experimental results for the vector-based + DL algorithms. cess rate.