[MIS14-P15] Actual conditions of geoparks based on text mining
Keywords:geopark, text mining
In the JpGU “Geopark” session in 2016, we reported the results from analysis of traffic big data, temporal variation of the number of geopark-related tweets on Twitter, and morphological analysis of geopark-related newspaper articles, in order to investigate the actual conditions of geoparks.
We report in this session further results of geopark-related newspaper article analyses using methods of text mining, including morphological analysis and co-occurence network diagram analysis. We also try to construct a database of geopark-related tweets. Some preliminary results are presented.
We report in this session further results of geopark-related newspaper article analyses using methods of text mining, including morphological analysis and co-occurence network diagram analysis. We also try to construct a database of geopark-related tweets. Some preliminary results are presented.