Update README.md
Browse files
README.md
CHANGED
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@@ -24,6 +24,297 @@ The model will give softmax outputs for three labels.
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1 -> Positive
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2 -> Neutral
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```
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| 27 |
## Usage (HuggingFace Transformers)
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Install `transformers` package:
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1 -> Positive
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2 -> Neutral
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```
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+
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| 28 |
+
## Dataset
|
| 29 |
+
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| 30 |
+
<table border="2">
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| 31 |
+
<tr align="center">
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| 32 |
+
<th rowspan="2">Dataset</th>
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| 33 |
+
<th colspan="3">Train</th>
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+
<th colspan="3">Test</th>
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+
<th colspan="3">Val</th>
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+
</tr>
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+
<tr align="center">
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+
<th>Neg</th>
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+
<th>Pos</th>
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+
<th>Neu</th>
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+
<th>Neg</th>
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+
<th>Pos</th>
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+
<th>Neu</th>
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+
<th>Neg</th>
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+
<th>Pos</th>
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+
<th>Neu</th>
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+
</tr>
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+
<tr align="center">
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+
<td align="left">All</td>
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| 50 |
+
<td>1000</td>
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| 51 |
+
<td>2000</td>
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| 52 |
+
<td>3000</td>
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| 53 |
+
<td>1000</td>
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| 54 |
+
<td>2000</td>
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| 55 |
+
<td>3000</td>
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| 56 |
+
<td>1000</td>
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| 57 |
+
<td>2000</td>
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| 58 |
+
<td>3000</td>
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| 59 |
+
</tr>
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| 60 |
+
<tr align="center">
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| 61 |
+
<td align="left">SA-VLSP2016</td>
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| 62 |
+
<td>1000</td>
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| 63 |
+
<td>2000</td>
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| 64 |
+
<td>3000</td>
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| 65 |
+
<td>1000</td>
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| 66 |
+
<td>2000</td>
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| 67 |
+
<td>3000</td>
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| 68 |
+
<td>1000</td>
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| 69 |
+
<td>2000</td>
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| 70 |
+
<td>3000</td>
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| 71 |
+
</tr>
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| 72 |
+
<tr align="center">
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| 73 |
+
<td align="left">UIT-VSFC </td>
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| 74 |
+
<td>1000</td>
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| 75 |
+
<td>2000</td>
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| 76 |
+
<td>3000</td>
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| 77 |
+
<td>1000</td>
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| 78 |
+
<td>2000</td>
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| 79 |
+
<td>3000</td>
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| 80 |
+
<td>1000</td>
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| 81 |
+
<td>2000</td>
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| 82 |
+
<td>3000</td>
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| 83 |
+
</tr>
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| 84 |
+
<tr align="center">
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| 85 |
+
<td align="left">UIT-VSMEC</td>
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| 86 |
+
<td>1000</td>
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| 87 |
+
<td>2000</td>
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| 88 |
+
<td>3000</td>
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| 89 |
+
<td>1000</td>
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| 90 |
+
<td>2000</td>
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| 91 |
+
<td>3000</td>
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| 92 |
+
<td>1000</td>
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| 93 |
+
<td>2000</td>
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| 94 |
+
<td>3000</td>
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| 95 |
+
</tr>
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| 96 |
+
<tr align="center">
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| 97 |
+
<td align="left">AIVIVN-2019</td>
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| 98 |
+
<td>1000</td>
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| 99 |
+
<td>2000</td>
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| 100 |
+
<td>3000</td>
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| 101 |
+
<td>1000</td>
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| 102 |
+
<td>2000</td>
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| 103 |
+
<td>3000</td>
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| 104 |
+
<td>1000</td>
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| 105 |
+
<td>2000</td>
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| 106 |
+
<td>3000</td>
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| 107 |
+
</tr>
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| 108 |
+
<tr align="center">
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| 109 |
+
<td align="left">UIT-ViCTSD</td>
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| 110 |
+
<td>1000</td>
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| 111 |
+
<td>2000</td>
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| 112 |
+
<td>3000</td>
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| 113 |
+
<td>1000</td>
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| 114 |
+
<td>2000</td>
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| 115 |
+
<td>3000</td>
|
| 116 |
+
<td>1000</td>
|
| 117 |
+
<td>2000</td>
|
| 118 |
+
<td>3000</td>
|
| 119 |
+
</tr>
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| 120 |
+
<tr align="center">
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| 121 |
+
<td align="left">UIT-ViHSD</td>
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| 122 |
+
<td>1000</td>
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| 123 |
+
<td>2000</td>
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| 124 |
+
<td>3000</td>
|
| 125 |
+
<td>1000</td>
|
| 126 |
+
<td>2000</td>
|
| 127 |
+
<td>3000</td>
|
| 128 |
+
<td>1000</td>
|
| 129 |
+
<td>2000</td>
|
| 130 |
+
<td>3000</td>
|
| 131 |
+
</tr>
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| 132 |
+
<tr align="center">
|
| 133 |
+
<td align="left">UIT-ViSFD</td>
|
| 134 |
+
<td>1000</td>
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| 135 |
+
<td>2000</td>
|
| 136 |
+
<td>3000</td>
|
| 137 |
+
<td>1000</td>
|
| 138 |
+
<td>2000</td>
|
| 139 |
+
<td>3000</td>
|
| 140 |
+
<td>1000</td>
|
| 141 |
+
<td>2000</td>
|
| 142 |
+
<td>3000</td>
|
| 143 |
+
</tr>
|
| 144 |
+
<tr align="center">
|
| 145 |
+
<td align="left">UIT-ViOCD</td>
|
| 146 |
+
<td>1000</td>
|
| 147 |
+
<td>2000</td>
|
| 148 |
+
<td>3000</td>
|
| 149 |
+
<td>1000</td>
|
| 150 |
+
<td>2000</td>
|
| 151 |
+
<td>3000</td>
|
| 152 |
+
<td>1000</td>
|
| 153 |
+
<td>2000</td>
|
| 154 |
+
<td>3000</td>
|
| 155 |
+
</tr>
|
| 156 |
+
<tr align="center">
|
| 157 |
+
<td align="left">Ecommerce-reviews</td>
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| 158 |
+
<td>1000</td>
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| 159 |
+
<td>2000</td>
|
| 160 |
+
<td>3000</td>
|
| 161 |
+
<td>1000</td>
|
| 162 |
+
<td>2000</td>
|
| 163 |
+
<td>3000</td>
|
| 164 |
+
<td>1000</td>
|
| 165 |
+
<td>2000</td>
|
| 166 |
+
<td>3000</td>
|
| 167 |
+
</tr>
|
| 168 |
+
<tr align="center">
|
| 169 |
+
<td align="left">VOZ-HSD</td>
|
| 170 |
+
<td>1000</td>
|
| 171 |
+
<td>2000</td>
|
| 172 |
+
<td>3000</td>
|
| 173 |
+
<td>1000</td>
|
| 174 |
+
<td>2000</td>
|
| 175 |
+
<td>3000</td>
|
| 176 |
+
<td>1000</td>
|
| 177 |
+
<td>2000</td>
|
| 178 |
+
<td>3000</td>
|
| 179 |
+
</tr>
|
| 180 |
+
<tr align="center">
|
| 181 |
+
<td align="left">Vietnamese-amazon-polarity</td>
|
| 182 |
+
<td>1000</td>
|
| 183 |
+
<td>2000</td>
|
| 184 |
+
<td>3000</td>
|
| 185 |
+
<td>1000</td>
|
| 186 |
+
<td>2000</td>
|
| 187 |
+
<td>3000</td>
|
| 188 |
+
<td>1000</td>
|
| 189 |
+
<td>2000</td>
|
| 190 |
+
<td>3000</td>
|
| 191 |
+
</tr>
|
| 192 |
+
</table>
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| 193 |
+
|
| 194 |
+
## Evaluation
|
| 195 |
+
<table>
|
| 196 |
+
<tr align="center">
|
| 197 |
+
<td rowspan=2><b>Model</td>
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| 198 |
+
<td rowspan=2><b>Avg MF1</td>
|
| 199 |
+
<td colspan=3><b>Emotion Recognition</td>
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| 200 |
+
<td colspan=3><b>Hate Speech Detection</td>
|
| 201 |
+
<td colspan=3><b>Spam Reviews Detection</td>
|
| 202 |
+
<td colspan=3><b>Hate Speech Spans Detection</td>
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| 203 |
+
</tr>
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| 204 |
+
<tr align="center">
|
| 205 |
+
<td><b>Acc</td>
|
| 206 |
+
<td><b>WF1</td>
|
| 207 |
+
<td><b>MF1</td>
|
| 208 |
+
<td><b>Acc</td>
|
| 209 |
+
<td><b>WF1</td>
|
| 210 |
+
<td><b>MF1</td>
|
| 211 |
+
<td><b>Acc</td>
|
| 212 |
+
<td><b>WF1</td>
|
| 213 |
+
<td><b>MF1</td>
|
| 214 |
+
<td><b>Acc</td>
|
| 215 |
+
<td><b>WF1</td>
|
| 216 |
+
<td><b>MF1</td>
|
| 217 |
+
</tr>
|
| 218 |
+
<tr align="center">
|
| 219 |
+
<td align="left">viBERT</td>
|
| 220 |
+
<td>78.16</td>
|
| 221 |
+
<td>61.91</td>
|
| 222 |
+
<td>61.98</td>
|
| 223 |
+
<td>59.7</td>
|
| 224 |
+
<td>85.34</td>
|
| 225 |
+
<td>85.01</td>
|
| 226 |
+
<td>62.07</td>
|
| 227 |
+
<td>89.93</td>
|
| 228 |
+
<td>89.79</td>
|
| 229 |
+
<td>76.8</td>
|
| 230 |
+
<td>90.42</td>
|
| 231 |
+
<td>90.45</td>
|
| 232 |
+
<td>84.55</td>
|
| 233 |
+
</tr>
|
| 234 |
+
<tr align="center">
|
| 235 |
+
<td align="left">vELECTRA</td>
|
| 236 |
+
<td>79.23</td>
|
| 237 |
+
<td>64.79</td>
|
| 238 |
+
<td>64.71</td>
|
| 239 |
+
<td>61.95</td>
|
| 240 |
+
<td>86.96</td>
|
| 241 |
+
<td>86.37</td>
|
| 242 |
+
<td>63.95</td>
|
| 243 |
+
<td>89.83</td>
|
| 244 |
+
<td>89.68</td>
|
| 245 |
+
<td>76.23</td>
|
| 246 |
+
<td>90.59</td>
|
| 247 |
+
<td>90.58</td>
|
| 248 |
+
<td>85.12</td>
|
| 249 |
+
</tr>
|
| 250 |
+
<tr align="center">
|
| 251 |
+
<td align="left">PhoBERT-Base </td>
|
| 252 |
+
<td>79.3</td>
|
| 253 |
+
<td>63.49</td>
|
| 254 |
+
<td>63.36</td>
|
| 255 |
+
<td>61.41</td>
|
| 256 |
+
<td>87.12</td>
|
| 257 |
+
<td>86.81</td>
|
| 258 |
+
<td>65.01</td>
|
| 259 |
+
<td>89.83</td>
|
| 260 |
+
<td>89.75</td>
|
| 261 |
+
<td>76.18</td>
|
| 262 |
+
<td>91.32</td>
|
| 263 |
+
<td>91.38</td>
|
| 264 |
+
<td>85.92</td>
|
| 265 |
+
</tr>
|
| 266 |
+
<tr align="center">
|
| 267 |
+
<td align="left">PhoBERT-Large</td>
|
| 268 |
+
<td>79.82</td>
|
| 269 |
+
<td>64.71</td>
|
| 270 |
+
<td>64.66</td>
|
| 271 |
+
<td>62.55</td>
|
| 272 |
+
<td>87.32</td>
|
| 273 |
+
<td>86.98</td>
|
| 274 |
+
<td>65.14</td>
|
| 275 |
+
<td>90.12</td>
|
| 276 |
+
<td>90.03</td>
|
| 277 |
+
<td>76.88</td>
|
| 278 |
+
<td>91.44</td>
|
| 279 |
+
<td>91.46</td>
|
| 280 |
+
<td>86.56</td>
|
| 281 |
+
</tr>
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| 282 |
+
<tr align="center">
|
| 283 |
+
<td align="left">ViSoBERT</td>
|
| 284 |
+
<td>81.58</td>
|
| 285 |
+
<td>68.1</td>
|
| 286 |
+
<td>68.37</td>
|
| 287 |
+
<td>65.88</td>
|
| 288 |
+
<td>88.51</td>
|
| 289 |
+
<td>88.31</td>
|
| 290 |
+
<td>68.77</td>
|
| 291 |
+
<td>90.99</td>
|
| 292 |
+
<td><b>90.92</td>
|
| 293 |
+
<td><b>79.06</td>
|
| 294 |
+
<td>91.62</td>
|
| 295 |
+
<td>91.57</td>
|
| 296 |
+
<td>86.8</td>
|
| 297 |
+
</tr>
|
| 298 |
+
<tr align="center">
|
| 299 |
+
<td align="left">visobert-14gb-corpus</td>
|
| 300 |
+
<td><b>82.2</td>
|
| 301 |
+
<td><b>68.69</td>
|
| 302 |
+
<td><b>68.75</td>
|
| 303 |
+
<td><b>66.03</td>
|
| 304 |
+
<td><b>88.79</td>
|
| 305 |
+
<td><b>88.6</td>
|
| 306 |
+
<td><b>69.57</td>
|
| 307 |
+
<td><b>91.02</td>
|
| 308 |
+
<td>90.88</td>
|
| 309 |
+
<td>77.13</td>
|
| 310 |
+
<td><b>93.69</td>
|
| 311 |
+
<td><b>93.63</td>
|
| 312 |
+
<td><b>89.66</td>
|
| 313 |
+
</tr>
|
| 314 |
+
</div>
|
| 315 |
+
</table>
|
| 316 |
+
|
| 317 |
+
|
| 318 |
## Usage (HuggingFace Transformers)
|
| 319 |
|
| 320 |
Install `transformers` package:
|