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Context-aware services are essential to understand the user\u0027s every 24 hours behavior. I focus on Twitter now widely used around the world for analysis of user behavior context. \"Geotag\", a feature of Twitter, stores the user behavior history so we can analyze user behavior context. In this study, geotag from Twitter is used to estimate the scope and patterns of user mobility. I aim to analyze user behavior context with clustering based on time, location and text of geotagged Tweets. Clusters labeling is based on the contents of Tweets as well. In the experiment, it was confirmed that clustering can be more accurate using time and text content than criteria. When using time and text, average error improve 100 meter comparing with using only location. As a result, using 700 or more geotagged Tweets, it is possible to estimate user behavior with some degree of error. In futre work, I try to improve the precision of clustering and labeling, and make some application which use human behavior data from my method.", "subitem_description_type": "Abstract"}]}, "item_7_full_name_3": {"attribute_name": "\u8457\u8005\u5225\u540d", "attribute_value_mlt": [{"nameIdentifiers": [{"nameIdentifier": "8491", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "Sakamaki, Tomohiro"}]}]}, "item_7_select_21": {"attribute_name": "\u5b66\u4f4d", "attribute_value_mlt": [{"subitem_select_item": "master"}]}, "item_7_subject_13": {"attribute_name": "\u65e5\u672c\u5341\u9032\u5206\u985e\u6cd5", "attribute_value_mlt": [{"subitem_subject": "007", "subitem_subject_scheme": "NDC"}]}, "item_7_text_24": {"attribute_name": "\u7814\u7a76\u79d1\u30fb\u5c02\u653b", "attribute_value_mlt": [{"subitem_text_value": "\u65b0\u9818\u57df\u5275\u6210\u79d1\u5b66\u7814\u7a76\u79d1\u74b0\u5883\u5b66\u7814\u7a76\u7cfb\u793e\u4f1a\u6587\u5316\u74b0\u5883\u5b66\u5c02\u653b"}]}, "item_7_text_27": {"attribute_name": "\u5b66\u4f4d\u8a18\u756a\u53f7", "attribute_value_mlt": [{"subitem_text_value": "\u4fee\u5275\u57df\u7b2c4454\u53f7"}]}, "item_7_text_36": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"subitem_text_value": "Thesis"}]}, "item_7_text_4": {"attribute_name": "\u8457\u8005\u6240\u5c5e", "attribute_value_mlt": [{"subitem_text_value": "\u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u65b0\u9818\u57df\u5275\u6210\u79d1\u5b66\u7814\u7a76\u79d1\u74b0\u5883\u5b66\u7814\u7a76\u7cfb\u793e\u4f1a\u6587\u5316\u74b0\u5883\u5b66\u5c02\u653b"}, {"subitem_text_value": "Department of Socio-Cultural Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "\u9152\u5dfb, \u667a\u5b8f"}], "nameIdentifiers": [{"nameIdentifier": "8490", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2017-05-31"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "K-03439.pdf", "filesize": [{"value": "10.4 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 10400000.0, "url": {"label": "\u672c\u6587(fulltext)", "url": "https://repository.dl.itc.u-tokyo.ac.jp/record/3558/files/K-03439.pdf"}, "version_id": "b3828b24-ee40-4384-8232-d293f8993164"}, {"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2017-05-31"}], "displaytype": "detail", "download_preview_message": "", "file_order": 1, "filename": "K-03439-a.pdf", "filesize": [{"value": "381.7 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 381700.0, "url": {"label": "\u8981\u65e8(summary)", "url": "https://repository.dl.itc.u-tokyo.ac.jp/record/3558/files/K-03439-a.pdf"}, "version_id": "da952a1b-f74d-47c0-b2ad-89a0ec4c8876"}]}, "item_keyword": {"attribute_name": "\u30ad\u30fc\u30ef\u30fc\u30c9", "attribute_value_mlt": [{"subitem_subject": "\u30de\u30a4\u30af\u30ed\u30d6\u30ed\u30b0", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Twitter", "subitem_subject_scheme": "Other"}, {"subitem_subject": "\u30b8\u30aa\u30bf\u30b0", "subitem_subject_scheme": "Other"}, {"subitem_subject": "\u884c\u52d5\u8abf\u67fb", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "jpn"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "thesis", "resourceuri": "http://purl.org/coar/resource_type/c_46ec"}]}, "item_title": "\u30de\u30a4\u30af\u30ed\u30d6\u30ed\u30b0\u306e\u30b8\u30aa\u30bf\u30b0\u3092\u7528\u3044\u305f\u30e6\u30fc\u30b6\u306e\u884c\u52d5\u5206\u6790", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "\u30de\u30a4\u30af\u30ed\u30d6\u30ed\u30b0\u306e\u30b8\u30aa\u30bf\u30b0\u3092\u7528\u3044\u305f\u30e6\u30fc\u30b6\u306e\u884c\u52d5\u5206\u6790"}]}, "item_type_id": "7", "owner": "1", "path": ["9/233/234", "110/203/257"], "permalink_uri": "http://hdl.handle.net/2261/52357", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2012-10-11"}, "publish_date": "2012-10-11", "publish_status": "0", "recid": "3558", "relation": {}, "relation_version_is_last": true, "title": ["\u30de\u30a4\u30af\u30ed\u30d6\u30ed\u30b0\u306e\u30b8\u30aa\u30bf\u30b0\u3092\u7528\u3044\u305f\u30e6\u30fc\u30b6\u306e\u884c\u52d5\u5206\u6790"], "weko_shared_id": null}