| Title | Analysis of Local Assembly Decision-making Process Using Facet LSTM Model |
|---|---|
| ID_Doc | 79240 |
| Authors | Lee, T; Jeong, H; Kim, NR |
| Title | Analysis of Local Assembly Decision-making Process Using Facet LSTM Model |
| Year | 2019 |
| Published | |
| Abstract | The objective of the study is to facilitate understanding of lengthy and complicated public discussioiis through a review of the meeting minutes from a local assembly and to derive from them distilled information usilig a big data machine learniiig model. To this end, we take the meeting minutes of the 7th basic assembly of Jin-gu Council in Busan and analyse three attributes: purpose of remark, presence of disagreement, and cause of coiiflict, as maiiifested throughout the discussion process through to the final decision making. |
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