Table 9.
Four post COVID-19 topic models based on LDA Algorithm.
| Theme1 (Dining Style) | Theme2 (Dining Experience) | ||
| Subject Terms | Probability | Subject Terms | Probability |
| discounts | 0.0168 | few people | 0.0455 |
| takeaway | 0.0149 | the firsttime | 0.0384 |
| semi-finished products | 0.0075 | queue up | 0.0373 |
| gohome | 0.0067 | delicious | 0.0166 |
| package | 0.0022 | wait | 0.0126 |
| dinein | 0.0008 | service attitude | 0.0057 |
| Theme3 (Changes in Food) | Theme4 (The Degree of Epidemic Prevention) | ||
| Subject Terms | Probability | Subject Terms | Probability |
| dish quality | 0.0308 | attitude | 0.0072 |
| fresh | 0.0098 | epidemic prevention | 0.0031 |
| share | 0.0095 | hygiene | 0.0031 |
| surroundings | 0.0087 | mask | 0.0021 |
| salmon | 0.0029 | Taketemperature | 0.0020 |
| sashimi | 0.0024 | distance | 0.0015 |