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report count (with pdf)
32194 reports
( Participation 631 Orgs )
report count
119956 reports
( compared to the privious fiscal year + 7090 reports )
( Participation 1871 Orgs )
site summary count
141251 reports
( compared to the privious fiscal year + 1522 reports )
現在の文化財論文件数
61532 reports
( compared to the privious fiscal year + 37898 reports )
video count
809 reports
( compared to the privious fiscal year + 34 reports )
( Participation 78 Orgs )
文化財イベント件数
653 reports
( compared to the privious fiscal year + 34 reports )
※過去開催分含む

Number of Archaeological Site Reports by Prefectures

In the process of creating the Word Map, if there are not enough archaeological site reports (PDF format) from individual prefectures, the Word Map is not created. This is due to the fact that we want to avoid results affected by the statistical bias. Therefore, the Word Map is only created if the archaeological site reports that are in the PDF format (Report Type a01from Comprehensive Database of architectural site) has more than 300 site. Bulletin articles and materials from field briefings, are not included in the number of site reports.

Site report Word Map-Tottori Prefecture(A Charted Overview of Frequent key words)

Papers listed in Comprehensive Database of Archaeological site reports in Japan has been subdivided into individual prefectures, where the archaeological key terms have been analysed and have been visualized as a figure.

Colour-coded Types of the key terms
Pink: Terms related to artefacts, Yellow: Terms related to the archaeological remains, Light blue: Other
* Depending on the key terms chosen there could be a slight change in the chosen category.
Created at 2022-07-02

Site report Word Map-Tottori Prefecture

Archaeological key words in the site reports from Comprehensive Database of Archaeological site reports in Japan have also been analysed and subdivided into individual prefectures. Key terms that are coming up in one prefecture but not in others shows us the uniqueness in the individual prefectures, and key terms that forms the archaeology in the separate prefectures.
Vector space model from Natural Language processing that combines TF (term frequency) and IDF(Inverse Document Frequency) to make TF-IDF was used to create this model. Numerical value used in the graph shows the quantity of the featured characteristics.

Colour-coded Types of the key terms
Pink: Terms related to artefacts, Yellow: Terms related to the archaeological remains, Light blue: Other
* Depending on the key terms chosen there could be a slight change in the chosen category.
Created at 2022-07-02
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