Name
Abstract | ||
|---|---|---|
In this paper, we propose a new method for extracting utterances expressing opinions and will from Japanese political corpus. Recently, many local autonomies in Japan provide on their Web sites various political documents such as basic plans of urban development, local assembly minutes or ordinances. These documents include utterances expressing opinions and will. If we can extract such utterances, voters can know who has what kind of opinion, and it will be useful for selecting candidates at the time of the election. Also, if such as utterances can be extracted from past local assembly minutes, it is also possible to investigate whether some countermeasure was taken against that opinion. Therefore, we develop a method for extracting utterances expressing opinions and will by using Japanese political corpus. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICDMW.2019.00012 | 2019 International Conference on Data Mining Workshops (ICDMW) |
Keywords | Field | DocType |
Text Mining,Web Mining,Comment Analysis | Countermeasure,Comment analysis,Web mining,Computer science,Urban planning,Artificial intelligence,Natural language processing,Politics,Machine learning | Conference |
ISSN | ISBN | Citations |
2375-9232 | 978-1-7281-4897-7 | 0 |
PageRank | References | Authors |
0.34 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiroki Sakaji | 1 | 30 | 17.97 |
| Yasutomo Kimura | 2 | 6 | 6.94 |
| Kiyoshi Izumi | 3 | 127 | 37.12 |
| Hiroyasu Matsushima | 4 | 0 | 0.68 |