{ "paper_id": "O15-1024", "header": { "generated_with": "S2ORC 1.0.0", "date_generated": "2023-01-19T08:10:07.060795Z" }, "title": "Analysis and Prediction of Blogger's Depression Tendency", "authors": [ { "first": "Chia-Ming", "middle": [], "last": "\u8463\u5bb6\u9298", "suffix": "", "affiliation": { "laboratory": "", "institution": "Cheng Kung University", "location": {} }, "email": "" }, { "first": "", "middle": [], "last": "Tung", "suffix": "", "affiliation": { "laboratory": "", "institution": "Cheng Kung University", "location": {} }, "email": "" }, { "first": "Wen-Hsiang", "middle": [], "last": "\u76e7\u6587\u7965", "suffix": "", "affiliation": { "laboratory": "", "institution": "Cheng Kung University", "location": {} }, "email": "" }, { "first": "", "middle": [], "last": "Lu", "suffix": "", "affiliation": { "laboratory": "", "institution": "Cheng Kung University", "location": {} }, "email": "" } ], "year": "", "venue": null, "identifiers": {}, "abstract": "According to the investigation report of the Department of Health, Executive Yuan, R.O.C. in 2007, it is estimated that about 7.3% of Taiwan's population suffer from the major depressive disorder. How to identify patients with depression tendency is one of important health issues. Thus, this project tries to develop a novel technique to automatically identify the depression tendency of bloggers using their blog posts.", "pdf_parse": { "paper_id": "O15-1024", "_pdf_hash": "", "abstract": [ { "text": "According to the investigation report of the Department of Health, Executive Yuan, R.O.C. in 2007, it is estimated that about 7.3% of Taiwan's population suffer from the major depressive disorder. How to identify patients with depression tendency is one of important health issues. Thus, this project tries to develop a novel technique to automatically identify the depression tendency of bloggers using their blog posts.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "Abstract", "sec_num": null } ], "body_text": [ { "text": "With the fast growth of social networks, bloggers usually write daily posts with their emotion and events happened in work, home, or life. Although there are lots of research works about emotion analysis and classification, to our knowledge, there is no work focusing on prediction of blogger's depression tendency based on emotion analysis. In this project, we try to analyze key factors affecting major depressive disorder, such as negative event, negative emotion, symptom and negative thought, and then use these four factors to assist bloggers to predict depression tendency. Therefore, we focus on the investigation of the following two research issues (1) analysis of relevant factors of depression on blog posts written by patients with the major depressive disorder, (2) development of event-emotion-driven depression tendency prediction model. \u4e8b\u4ef6\uff0c\u5fc3\u7406\u7522\u751f\u591a\u7a2e\u8ca0\u9762\u60c5\u7dd2\u5982 \"\u5927\u54ed\"\u3001\"\u6050\u614c\"\u3001\"\u7126\u616e\"\u3001\"\u6cae\u55aa\"\u7b49\uff0c\u7d50\u679c\u4e5f\u51fa\u73fe\u4e00\u4e9b \u751f\u7406\u75c7\u72c0 \"\u7761\u4e0d\u597d\"\uff0c\u751a\u81f3\u8ca0\u9762\u60f3\u6cd5 \"\u6490\u4e0d\u4e0b\u53bb\u4e86\"\u3002\u7d93\u7531\u9577\u671f\u8ffd\u8e64\u6587\u7ae0\u8ca0\u9762\u60c5\u7dd2\u8a5e\u7684\u985e ", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "", "sec_num": null }, { "text": "\u56db\u3001 \u5be6\u9a57 ", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "\u578b\u8207\u51fa\u73fe\u983b\u7387\uff0c\u53ef\u4ee5\u4e86\u89e3\u90e8\u843d\u683c\u4f5c\u8005\u6240\u767c\u751f\u7684\u5fc3\u7406\u554f\u984c\u3002\u6240\u4ee5\u672c\u7814\u7a76\u9996\u5148\u5617\u8a66\u5229\u7528\u90e8\u843d", "sec_num": null } ], "back_matter": [], "bib_entries": { "BIBREF0": { "ref_id": "b0", "title": "American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition -Text Revision (DSMIV-TR)", "authors": [], "year": 2000, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "American Psychiatric Association, Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition -Text Revision (DSMIV-TR), Amer Psychiatric Pub, 2000.", "links": null }, "BIBREF1": { "ref_id": "b1", "title": "The need for a new medical model: a challenge for biomedical medicine", "authors": [ { "first": "G", "middle": [ "L" ], "last": "Engel", "suffix": "" } ], "year": 1977, "venue": "Science, New Series", "volume": "196", "issue": "4286", "pages": "129--136", "other_ids": {}, "num": null, "urls": [], "raw_text": "G.L. 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Archives of General Psychiatry, vol. 21, no. 6, pp. 753-760, 1969.", "links": null } }, "ref_entries": { "FIGREF0": { "uris": null, "type_str": "figure", "text": "Keywords: Depression Tendency, Event, Negative Emotion, Symptom, Negative Thought. )\u548c\u8fd1\u5e74\u706b\u7d05\u7684\u5fae\u7db2\u8a8c(Micro Blog)\u3002\u75de\u5ba2\u90a6 (PIXNET)\u3001\u96a8\u610f\u7aa9(Xuite)\u3001yam\u5929\u7a7a\u90e8\u843d\u7b49\u90fd\u662f\u570b\u5167\u77e5\u540d\u7684\u90e8\u843d\u683c\u670d\u52d9\u7db2\u7ad9\u3002\u53e6\u5916\u81c9\u66f8 (Facebook) \u3001\u63a8\u7279(Twitter) \u3001\u5657\u6d6a(Plurk) \u7b49\u90fd\u662f\u975e\u5e38\u71b1\u9580\u7684\u570b\u969b\u5fae\u7db2\u8a8c\u670d\u52d9\u7db2\u7ad9\u3002\u90e8 \u843d\u683c\u63d0\u4f9b\u7db2\u8def\u4f7f\u7528\u8005\u96a8\u610f\u64b0\u5beb\u6587\u7ae0\u7d00\u9304\u751f\u6d3b\u4e2d\u906d\u9047\u7684\u9ede\u9ede\u6ef4\u6ef4\uff0c\u4e26\u6292\u767c\u5fc3\u60c5\u611f\u53d7\uff0c\u6709\u9a5a\u3001 \u6709\u6012\u3001\u6709\u559c\u6a02\u4e5f\u6709\u60b2\u50b7\u3002\u6839\u64da\u6211\u5011\u5c0d\u5927\u91cf\u7684\u90e8\u843d\u683c\u548c\u8ad6\u58c7\u6587\u7ae0\u89c0\u5bdf\uff0c\u767c\u73fe\u8a31\u591a\u6587\u7ae0\u5167\u5bb9 \u51fa\u73fe\u4e8b\u4ef6\u3001\u8ca0\u9762\u60c5\u7dd2\u3001\u75c7\u72c0\u53ca\u8ca0\u9762\u60f3\u6cd5\u7b49\u76f8\u95dc\u8a5e\u5f59\uff0c\u5982\u5716\u4e00\u6240\u793a\uff0c\u4f5c\u8005\u9762\u5c0d \"\u91cd\u8003\"", "num": null }, "FIGREF1": { "uris": null, "type_str": "figure", "text": "\u7684\u6182\u9b31\u50be\u5411 D \u8f49\u5316\u6210\u6182\u9b31\u56e0\u7d20 \uff0c\u8b8a\u6210\u516c\u5f0f(2)\uff1a ( | ) = \ufffd \ufffd \ufffd (\u6d88\u6975\u56e0\u7d20 \u6db5\u84cb\u4e86\u4e8b\u4ef6 E\u3001\u8ca0\u9762\u60c5\u7dd2 M\u3001\u75c7\u72c0 S \u53ca\u8ca0\u9762\u60f3\u6cd5 T\uff0c\u56e0\u6b64\u6539\u6210\u516c\u5f0f(3)\uff1a \ufffd \ufffd \ufffd = ( , , , | )(3) \u5728\u56db\u500b\u6d88\u6975\u56e0\u7d20\u4e4b\u4e2d\uff0c\u672c\u7814\u7a76\u540c\u6642\u63d0\u51fa\u6d88\u6975\u56e0\u7d20\u7684\u6839\u6e90\u4f86\u81ea\u65bc\u5f15\u767c\u6182\u9b31\u60c5\u7dd2\u7684\u4e8b\u4ef6\uff0c \u7a31\u70ba\u4e8b\u4ef6(Negative Event)\uff0c\u63a5\u8457\u4e8b\u4ef6\u53ef\u80fd\u5f15\u767c\u8ca0\u9762\u60c5\u7dd2\u3001\u75c7\u72c0\u53ca\u8ca0\u9762\u60f3\u6cd5\u3002\u5c07\u516c\u5f0f(3) \u91dd\u5c0d\u6d88\u6975\u56e0\u7d20\u4e2d\u7684\u4e8b\u4ef6\u8207\u5176\u4ed6\u4e09\u500b\u6d88\u6975\u56e0\u7d20\u5c55\u958b\uff0c\u5373\u70ba\u4e0b\u5217\u516c\u5f0f(4)\uff1a ( | ) = ( | ) ( | ) ( | , ) ( | , ) (4) \u516c \u5f0f (4) \u5373 \u662f \u672c \u7814 \u7a76 \u7684 \u5275 \u65b0 \u6a21 \u578b \uff0c \u7a31 \u505a \u4e8b \u4ef6 \u60c5 \u7dd2 \u9a45 \u52d5 \u7684 \u6182 \u9b31 \u50be \u5411 \u9810 \u6e2c \u6a21 \u578b (Event-Emotion-drivenDepression Tendency Prediction Model)\uff0c\u800c\u6bcf\u7bc7\u90e8\u843d\u683c\u6587\u7ae0\u900f\u904e\u6b64 \u6a21\u578b\u5f97\u5230\u7684\u5206\u6578\u7a31\u4e4b\u70ba\u6182\u9b31\u50be\u5411\u5206\u6578(Depression Tendency Score)\u3002 (3) \u6182\u9b31\u50be\u5411\u5206\u6578\u4f30\u7b97 \u70ba\u4e86\u8a08\u7b97\u5f48\u6027\u65b9\u4fbf\uff0c\u672c\u7814\u7a76\u5229\u7528 Log Linear Model \u627e\u51fa ( | )\u7684\u6700\u5927\u6a5f\u7387\u503c\uff0c\u516c\u5f0f \u5982\u4e0b\uff1a ( \u4e2d\u7684 z \u662f\u6578\u503c\u8f49\u6a5f\u7387\u7684\u6b63\u898f\u56e0\u7d20 (normalization factor)\uff0c \u70ba\u6b0a\u91cd\u4fc2\u6578\uff0c \u70ba\u7279\u5fb5 \u51fd\u6578\uff0cF \u70ba\u7279\u5fb5\u51fd\u6578\u96c6\u5408\uff0c = { , \u2212 , , }\u3002\u6211\u5011\u5c07 ( , )\u7a31\u505a\u4e8b\u4ef6\u7279\u5fb5\u51fd \u6578\uff1b \u2212 ( , , )\u7a31\u505a\u4e8b\u4ef6\u548c\u60c5\u7dd2\u914d\u5c0d\u7279\u5fb5\u51fd\u6578\uff1b ( , , , )\u7a31\u505a\u75c7\u72c0\u7279\u5fb5\u51fd\u6578\uff1b ( , , , )\u7a31\u505a\u8ca0\u9762\u60f3\u6cd5\u7279\u5fb5\u51fd\u6578\u3002 \u5728\u63a5\u4e0b\u4f86\u7684\u5c0f\u7bc0\u6703\u8a73\u7d30\u4ecb\u7d39\u9019\u4e94\u500b\u7279\u5fb5\u51fd\u6578\u7684\u8a08\u7b97\u65b9\u6cd5\u3002 \uf09f \u4e8b\u4ef6\u7279\u5fb5\u51fd\u6578: \u7d93\u7531\u6bd4\u5c0d\u90e8\u843d\u683c\u6587\u7ae0\u5167\u5bb9\u7684\u8a5e\u5f59 E \u8207\u6182\u9b31\u4e8b\u4ef6\u8a5e\u5178 = { 1 , 2 , \u2026 }\uff0c\u82e5\u8a5e\u5f59 E \u51fa \u73fe\u5728\u4e8b\u4ef6\u8a5e\u5178 \u4e2d\u5247\u7d66\u4e88\u4e8b\u4ef6\u8a5e\u5206\u6578\u3002\u6211\u5011\u7531\u53f0\u5927 BBS PTT \u7684 Prozac \u677f(\u6182\u9b31\u677f)\u4e2d 378", "num": null }, "TABREF0": { "text": "The 2015 Conference on Computational Linguistics and Speech Processing ROCLING 2015, pp. 263-276 \uf0d3 The Association for Computational Linguistics and Chinese Language Processing", "content": "", "num": null, "html": null, "type_str": "table" }, "TABREF1": { "text": "22,23]\u3002\u6b64\u5916\uff0c\u8fd1\u5e7e\u5e74\u4ee5\u60c5\u7dd2\u5075\u6e2c\u548c\u5206\u985e\u70ba\u4e3b\u7684\u76f8\u95dc\u7814\u7a76[11,20]\u5feb\u901f\u589e\u52a0\uff0c\u800c \u90e8\u843d\u683c\u7db2\u8a8c\u5167\u5bb9\u4e3b\u984c\u5206\u6790\u4e5f\u9010\u6f38\u5730\u8b8a\u6210\u71b1\u9580\u7684\u7814\u7a76\u5c0d\u8c61[6]\u3002\u8a31\u591a\u7814\u7a76[3,11,19,20,21] \u7686\u91dd\u5c0d\u90e8\u843d\u683c\u7db2\u8a8c\u6587\u7ae0\u7684\u5167\u5bb9\u4e3b\u984c\u8207\u60c5\u7dd2\uff0c\u63d0\u51fa\u5404\u5f0f\u5404\u6a23\u7684\u65b9\u6cd5\u9032\u884c\u60c5\u7dd2\u8fa8\u8b58\u8207\u5206\u985e\u3002 Leshed and Kaye[9]\u91dd\u5c0d LiveJournal8.com \u7db2\u7ad9\u90e8\u843d\u683c\u4f7f\u7528\u8005\u5982\u4f55\u8a6e\u91cb\u4ed6\u5011\u7684\u5fc3\u60c5\u505a\u4e86\u4e00 \u500b\u5168\u9762\u6027\u7684\u8abf\u67e5\uff0c\u8a72\u7db2\u7ad9\u63d0\u4f9b\u4e86 132 \u7a2e\u5fc3\u60c5\u9078\u9805\u7576\u4f5c\u90e8\u843d\u683c\u4f7f\u7528\u8005\u60c5\u7dd2\u6a19\u8a18\u3002Hsu \u548c Lin[3]\u4e5f\u63d0\u4f9b\u4e86\u4e00\u500b SVM \u5206\u985e\u5668\u5c0d\u5927\u91cf\u7684\u6587\u5b57\u5217\u8868\u505a\u5fc3\u60c5\u7684\u95dc\u806f\u5206\u6790\u3002\u4f8b\u5982\uff0c\"\u96fb\u8166\" (Computer)\u9019\u500b\u8a5e\u5f59\u76f8\u7576\u6709\u53ef\u80fd\u88ab\u6b78\u985e\u5230\"\u7169\u60b6\"\u7684\u90e8\u843d\u683c\u689d\u76ee\u3002Yang \u7b49\u4eba[19, 20, 21] \u5229\u7528 SVM \u548c CRF \u5c0d\u90e8\u843d\u683c\u7db2\u8a8c\u6587\u7ae0\u4f5c\u60c5\u7dd2\u7684\u5206\u985e\uff0c\u4ed6\u5011\u4ee5\u53e5\u70ba\u55ae\u4f4d\u548c\u4ee5\u6587\u7ae0\u70ba\u55ae\u4f4d Pustejovsky [14, 15]\u70ba\u4e86\u63a2\u7a76\u4e8b\u4ef6\u548c\u6642\u9593\u7684\u95dc\u4fc2\u63d0\u51fa TimeML (Time Markup Language)\u6982\u5ff5\u3002\u63a5\u8457 2007 \u5e74\uff0cMani (2007)\u5229\u7528 TimeML \u7684\u6642\u9593\u6a19\u8a3b\u7d50\u69cb\uff0c\u6a19\u8a3b\u65b0\u805e\u6587\u7ae0\u7684\u4e8b\u4ef6\u3001\u6642\u9593\u548c\u5f7c \u6b64\u95dc\u4fc2\u3002Pustejovsky \u958b\u59cb\u9032\u884c Textual Inference Tasks [4, 5, 16] \u7684\u7814\u7a76\uff0c\u9996\u5148\u4ed6\u4ee5 TimeML \u70ba\u57fa\u790e\u5efa\u69cb Event Structure Lexicon (ESL)\uff0c\u91dd\u5c0d Event Implicature \u548c Entailed Subevent \u9032\u884c\u63a8\u8ad6\u3002Palmer \u7b49[13]\u4f5c\u4e86\u4e0d\u5c11\u7531\u52d5\u8a5e\u51fa\u767c\u7684\u4e8b\u4ef6\u8868\u9054\uff0c\u5206\u6790\uff0c\u8207\u9810\u6e2c\u7814\u7a76\u3002 \u4ed6\u5011\u5c0d\u65bc", "content": "
\u683c\u6587\u7ae0\u5167\u5bb9\u4f86\u5206\u6790\u4f5c\u8005\u7684\u8ca0\u9762\u60c5\u7dd2\uff0c\u7136\u5f8c\u5075\u6e2c\u90e8\u843d\u683c\u4f5c\u8005\u662f\u5426\u6709\u5f37\u70c8\u60c5\u7dd2\u4e0d\u7a69\u6216\u6182\u9b31\u50be \u5411\uff0c\u6216\u751a\u81f3\u7522\u751f\u81ea\u6bba\u4f01\u5716\u3002\u6211\u5011\u671f\u5f85\u958b\u767c\u6709\u6548\u7684\u5275\u65b0\u6280\u8853\uff0c\u5f9e\u90e8\u843d\u683c\u6587\u7ae0\u5224\u65b7\u6709\u6182\u9b31\u50be \u5411\u7684\u4f5c\u8005\uff0c\u9032\u800c\u5354\u52a9\u9019\u4e9b\u4f5c\u8005\u9810\u9632\u6216\u6cbb\u7642\u6182\u9b31\u75c7\u3002\u672c\u7814\u7a76\u7279\u5225\u95dc\u6ce8\u5169\u9805\u91cd\u8981\u7814\u7a76\u8b70\u984c\uff0c \u4e26\u958b\u767c\u76f8\u95dc\u8655\u7406\u6280\u8853\uff1a(1)\u6182\u9b31\u75c7\u60a3\u8005\u7db2\u8a8c\u6587\u7ae0\u7684\u6182\u9b31\u50be\u5411\u8207\u76f8\u95dc\u56e0\u7d20\u5206\u6790\uff0c(2)\u767c\u5c55\u90e8 \u843d\u683c\u4f5c\u8005\u7684\u6182\u9b31\u50be\u5411\u9810\u6e2c\u6a21\u578b\u3002\u56e0\u6b64\u6211\u5011\u63d0\u51fa\u4e8b\u4ef6\u60c5\u7dd2\u9a45\u52d5\u7684\u6182\u9b31\u50be\u5411\u9810\u6e2c\u6a21\u578b (Event-Emotion-driven Depression Tendency Prediction Model)\uff0c\u85c9\u7531\u8ca0\u9762\u60c5\u7dd2\u3001\u4e8b\u4ef6\u3001\u75c7 \u72c0\u548c\u8ca0\u9762\u60f3\u6cd5\u7279\u5fb5\u7684\u5206\u6790\uff0c\u7136\u5f8c\u5224\u5225\u51fa\u90e8\u843d\u683c\u4f5c\u8005\u7684\u6182\u9b31\u50be\u5411\u3002 \u5716\u4e00\u3001\u6182\u9b31\u75c7\u60a3\u8005\u767c\u8868\u7db2\u8a8c\u6587\u7ae0 (\u85cd\u8272\u77e9\u5f62\u5be6\u7dda\u4ee3\u8868\u4e8b\u4ef6\uff1b\u7d05\u8272\u77e9\u5f62\u865b\u7dda\u4ee3\u8868\u8ca0\u9762\u60c5\u7dd2\uff1b \u7d2b\u8272\u6a62\u5713\u5be6\u7dda\u4ee3\u8868\u75c7\u72c0\uff1b\u7da0\u8272\u6a62\u5713\u865b\u7dda\u4ee3\u8868\u8ca0\u9762\u60f3\u6cd5) \u4e8c\u3001 \u6587\u737b\u63a2\u8a0e (\u4e00) \u6182\u9b31\u75c7\u7c21\u4ecb\u8207\u81e8\u5e8a\u8a3a\u65b7\u6280\u8853 \u6182\u9b31\u75c7\u901a\u5e38\u662f\u6307\u91cd\u6027\u6182\u9b31\u969c\u7919(major depressive disorder)\uff0c\u5728\u91ab\u5b78\u4e0a\u88ab\u8996\u4f5c\u4e00\u7a2e\u7cbe\u795e \u75be\u75c5\u3002\u6182\u9b31\u75c7\u60a3\u8005\u7684\u5178\u578b\u75c7\u72c0\u662f\u5fc3\u60c5\u4f4e\u843d\uff0c\u901a\u5e38\u6703\u6c89\u6d78\u5728\u6182\u9b31\u7684\u60c5\u7dd2\u72c0\u614b\u4e2d\uff0c\u5c0d\u4e00\u4e9b\u6709 \u8208\u8da3\u7684\u4e8b\u7269\u7686\u611f\u7121\u8da3\uff0c\u7d55\u671b\u6216\u662f\u8a8d\u70ba\u4eba\u751f\u6c92\u6709\u50f9\u503c\uff0c\u66f4\u751a\u8005\u6703\u6709\u81ea\u6bba\u5ff5\u982d\u3002\u5728\u751f\u7406\u4e0a\u4e5f \u6703\u51fa\u73fe\u75c7\u72c0\uff0c\u4f8b\u5982\u5931\u7720\u3001\u6c92\u6709\u98df\u617e\u9020\u6210\u9ad4\u91cd\u4e0b\u964d\u3001\u75b2\u52de\u3001\u7121\u7cbe\u6253\u91c7\u6c92\u6709\u6d3b\u529b\u6216\u662f\u51fa\u73fe\u8178 \u80c3\u554f\u984c\u7b49\u3002 \u6182\u9b31\u75c7\u7684\u75c5\u56e0\u5728\u91ab\u5b78\u4e0a\u76ee\u524d\u5c1a\u672a\u78ba\u8a8d\uff0c\u5f9e\u5fc3\u7406\u5b78\u7684\u7814\u7a76\u8a8d\u70ba\u4e00\u500b\u4eba\u7684\u4eba\u683c\u767c\u5c55\u5728\u8a31 \u591a\u65b9\u9762\u4fc3\u4f7f\u4e86\u6182\u9b31\u75c7\u7684\u767c\u4f5c\uff0c\u5f88\u591a\u5b78\u6d3e\u652f\u6301\u9019\u500b\u8ad6\u9ede\uff0c\u4f8b\u5982\u7cbe\u795e\u5206\u6790\u5b78\u3001\u5b58\u5728\u4e3b\u7fa9\u5fc3\u7406 \u5b78\u7b49[10, 12]\u3002\u800c\u793e\u6703\u5b78\u7684\u7814\u7a76\u89c0\u9ede\u5247\u524d\u77bb\u5730\u6307\u51fa\u8eab\u8655\u7684\u74b0\u5883\u3001\u4eba\u969b\u95dc\u4fc2\u8207\u906d\u9047\u7684\u751f\u6d3b \u4e8b\u4ef6\u662f\u7f79\u60a3\u6182\u9b31\u75c7\u7684\u91cd\u8981\u539f\u56e0[26]\uff0c\u4f8b\u5982\u5bb6\u5ead\u529f\u80fd\u53d7\u640d\u6216\u662f\u8655\u65bc\u60e1\u52a3\u5de5\u4f5c\u74b0\u5883\u4e2d\u3002\u672c\u7814 \u7a76\u8a8d\u70ba\u751f\u7269\u3001\u5fc3\u7406\u3001\u793e\u6703\u9019\u4e09\u500b\u56e0\u7d20\u90fd\u662f\u91cd\u8981\u5f71\u97ff\u56e0\u7d20\uff0c\u53e6\u5916\u5c0d\u65bc\u5f71\u97ff\u90e8\u843d\u683c\u4f5c\u8005\u8ca0\u9762 Analysis Model \u7d66\u5b9a\u4e00\u7bc7\u90e8\u843d\u683c\u6587\u7ae0 b \uff0c\u6211\u5011\u60f3\u8981\u5229\u7528\u6a5f\u7387\u6a21\u578b\u4f86\u4f30\u7b97\u9019\u7bc7\u6587\u7ae0\u900f\u9732\u51fa\u7684\u6182\u9b31\u50be Analysis Factors BPS model Biological Psychological \u5411(Depressive Tendency) D \u7684\u5f37\u5ea6\uff1a Social \u60c5\u7dd2\u7684\u8ca0\u9762\u751f\u6d3b\u4e8b\u4ef6\u5c07\u6df1\u5165\u63a2\u7a76\u3002 \u73fe\u4eca\u91ab\u5b78\u7684\u6182\u9b31\u75c7\u8a3a\u65b7\u6a19\u6e96\u4e3b\u8981\u662f\u6839\u64da\u7f8e\u570b\u7cbe\u795e\u75be\u75c5\u5354\u6703(American Psychiatric Association, APA) \u7684\u7cbe\u795e\u75be\u75c5\u8a3a\u65b7\u8207\u7d71\u8a08\u624b\u518a\u7b2c\u56db\u7248\u4fee\u8a02\u7248(DSM-IV-TR) (2000)[1]\u548c \u4e16\u754c\u885b\u751f\u7d44\u7e54(World Health Organization, WHO) \u7684\u570b\u969b\u75be\u75c5\u8207\u76f8\u95dc\u5065\u5eb7\u554f\u984c\u7d71\u8a08\u5206\u985e (ICD-10) (2007) [17]\uff0c\u53e6\u5916\u8463\u6c0f\u57fa\u91d1\u6703[25]\u4e5f\u6709\u63d0\u4f9b\u6182\u9b31\u75c7\u7684\u81ea\u6211\u8a3a\u65b7\u8a55\u91cf\u8868\u8b93\u4e00\u822c\u6c11 \u773e\u81ea\u6211\u7be9\u6aa2\u3002\u4e0b\u9762\u7c21\u55ae\u8aaa\u660e DSM-IV-TR \u6709\u95dc\u6182\u9b31\u75c7\u7684\u4e5d\u9805\u8a3a\u65b7\u6a19\u6e96\uff1a 1. \u6182\u9b31\u60c5\u7dd2\uff1a\u5feb\u6a02\u4e0d\u8d77\u4f86\u3001\u7169\u8e81\u548c\u9b31\u60b6\u3002 2. \u8208\u8da3\u8207\u559c\u6a02\u6e1b\u5c11\uff1a\u63d0\u4e0d\u8d77\u8208\u8da3\u3002 3. \u7121\u6cd5\u5c08\u6ce8\uff1a\u7121\u6cd5\u6c7a\u65b7\u3001\u77db\u76fe\u7336\u8c6b\u3001\u7121\u6cd5\u5c08\u5fc3\u3002 4. \u9ad4\u91cd\u548c\u98df\u617e\u5931\u5e38\uff1a\u9ad4\u91cd\u4e0b\u964d\u6216\u589e\u52a0\u3001\u98df\u617e\u4e0b\u964d\u6216\u589e\u52a0 5. \u5931\u7720(\u6216\u55dc\u7761)\uff1a\u96e3\u5165\u7761\u6216\u6574\u5929\u60f3\u7761\u3002 6. \u7cbe\u795e\u904b\u52d5\u6027\u9072\u6eef(\u6216\u6fc0\u52d5)\uff1a\u601d\u8003\u52d5\u4f5c\u8b8a\u7de9\u6162\u3001\u8166\u7b4b\u8b8a\u920d\u3002 7. \u75b2\u7d2f\u5931\u53bb\u6d3b\u529b\uff1a\u6574\u5929\u60f3\u8eba\u5e8a\u3001\u9ad4\u529b\u8b8a\u5dee\u3002 8. \u7121\u50f9\u503c\u611f\u6216\u7f6a\u60e1\u611f\uff1a\u89ba\u5f97\u6d3b\u8457\u6c92\u610f\u601d\u3001\u81ea\u8cac\u96e3\u904e\uff0c\u90fd\u662f\u8ca0\u9762\u60f3\u6cd5\u3002 9. \u81ea\u6bba\u610f\u5716\uff1a\u53cd\u8986\u60f3\u5230\u6b7b\u4ea1\uff0c\u751a\u81f3\u6709\u81ea\u6bba\u610f\u5ff5\u3001\u4f01\u5716\u6216\u8a08\u756b\u3002 (\u4e8c) \u90e8\u843d\u683c\u60c5\u7dd2\u5206\u6790 \u8fd1\u5e7e\u5e74\u4f86\u90e8\u843d\u683c\u7684\u670d\u52d9\u5feb\u901f\u5d1b\u8d77\uff0c\u8a31\u591a\u5b78\u8005\u767c\u73fe\u60c5\u7dd2\u662f\u90e8\u843d\u683c\u7db2\u8a8c\u6587\u7ae0\u4e2d\u4e00\u500b\u91cd\u8981 \u7684\u6210\u5206\uff0c\u800c\u570b\u5167\u53f0\u5927\u8cc7\u5de5\u7cfb\u9673\u4fe1\u5e0c\u6559\u6388\u6700\u8fd1\u5e7e\u5e74\u4e5f\u6709\u4e0d\u5c11\u7684\u7814\u7a76\u95dc\u6ce8\u5728\u90e8\u843d\u683c\u7684\u60c5\u7dd2\u5206 \u6790\u4e0a[11, \u9032\u884c\u5927\u898f\u6a21\u6548\u80fd\u8a55\u4f30\u3002\u9019\u4e9b\u60c5\u7dd2\u5075\u6e2c\u548c\u5206\u985e\u7684\u76f8\u95dc\u7814\u7a76\u89f8\u767c\u672c\u7814\u7a76\u5c0d\u65bc\u60c5\u7dd2\u7814\u7a76\u7684\u5ef6\u4f38 \u61c9\u7528\uff0c\u6211\u5011\u5617\u8a66\u5229\u7528\u8ca0\u9762\u60c5\u7dd2\u7279\u5fb5\u63d0\u51fa\u5275\u65b0\u7684\u90e8\u843d\u683c\u4f5c\u8005\u7684\u6182\u9b31\u50be\u5411\u9810\u6e2c\u7814\u7a76\u3002 (\u4e09) \u90e8\u843d\u683c\u4e8b\u4ef6\u64f7\u53d6 \u672c\u7814\u7a76\u662f\u4ee5\u7d00\u9304\u90e8\u843d\u683c\u4f5c\u8005\u500b\u4eba\u65e5\u5e38\u751f\u6d3b\u4e0a\u5f15\u767c\u8ca0\u9762\u60c5\u7dd2\u7684\u8ca0\u9762\u4e8b\u60c5\u4f5c\u70ba\u4e8b\u4ef6\u7684 \u5b9a\u7fa9\uff0c\u5927\u6982\u4ee5\u5bb6\u5ead\u3001\u611f\u60c5\u3001\u5b78\u696d\u3001\u5de5\u4f5c\u56db\u7a2e\u985e\u578b\u70ba\u4e3b\u7684\u751f\u6d3b\u4e8b\u4ef6\u3002\u904e\u53bb\u6709\u95dc\u4e8b\u4ef6\u64f7\u53d6\u7684 \u76f8\u95dc\u7814\u7a76\u4e3b\u8981\u4f86\u81ea\u65bc\u5169\u500b\u7814\u7a76\u9818\u57df\uff0c\u4e00\u500b\u662f\u4e3b\u984c\u5075\u6e2c\u8207\u8ffd\u8e64(Topic Detection and Tracking, TDT)\uff0c\u53e6\u4e00\u500b\u662f\u81ea\u7136\u8a9e\u8a00\u8655\u7406\u3002 Chen \u7b49\u4eba (2008)\u63d0\u51fa\u7684 TSCAN [23]\u548c Kumaran \u7b49\u4eba[7]\u63d0\u51fa\u7684 NED \u7686\u662f TDT \u76f8 \u95dc\u7684\u7814\u7a76\uff0c\u5728\u6b64\u4ed6\u5011\u5c0d\u65bc Topic \u7684\u5b9a\u7fa9\u662f\u4e00\u500b\u6709\u91cd\u5927\u5f71\u97ff\u548c\u610f\u7fa9\u7684\u4e8b\u4ef6\u6216\u6d3b\u52d5\u3002\u5927\u90e8\u4efd \u6709\u95dc\u4e8b\u4ef6\u7684\u76f8\u95dc\u7814\u7a76\u4e3b\u8981\u90fd\u662f\u4ee5\u65b0\u805e\u71b1\u9580\u4e8b\u4ef6\u70ba\u4e3b[8]\u3002Teng and Chen [22]\u63d0\u51fa\u4e86\u5229\u7528 Temporal Collocation \u7684\u65b9\u6cd5\u5c0d\u90e8\u843d\u683c\u7db2\u8a8c\u6587\u7ae0\u505a\u4e8b\u4ef6\u62bd\u53d6\uff0c\u4f46\u662f\u4ed6\u5011\u8457\u91cd\u5728\u71b1\u9580\u4e3b\u984c\u4e8b \u4ef6\u62bd\u53d6\uff0c\u76f8\u5c0d\u4f86\u8aaa\u672c\u7814\u7a76\u5247\u6df1\u5165\u63a2\u7a76\u66f4\u7463\u788e\u7684\u751f\u6d3b\u4e8b\u4ef6\u62bd\u53d6\u70ba\u4e3b\uff0c\u6280\u8853\u4e0a\u61c9\u8a72\u6bd4\u8f03\u56f0 \u96e3\u3002 \u4e09\u3001\u7814\u7a76\u65b9\u6cd5 \u70ba\u4e86\u5f9e\u90e8\u843d\u683c\u4f5c\u8005\u7684\u7db2\u8a8c\u6587\u7ae0\u77ad\u89e3\u548c\u9810\u6e2c\u90e8\u843d\u683c\u4f5c\u8005\u7684\u6182\u9b31\u50be\u5411\uff0c\u672c\u7814\u7a76\u641c\u96c6\u4e86\u5927 \u91cf\u6182\u9b31\u75c7\u60a3\u8005\u7684\u7db2\u8a8c\u6587\u7ae0\u6216 BBS \u8ad6\u58c7\u6587\u7ae0\uff0c\u85c9\u7531\u6df1\u5165\u89c0\u5bdf\u4e8b\u4ef6\u3001\u8ca0\u9762\u60c5\u7dd2\u3001\u75c7\u72c0\u3001\u8ca0 \u9762\u60f3\u6cd5\u7b49\u56db\u9805\u91cd\u8981\u7279\u5fb5\u5c0d\u65bc\u6182\u9b31\u75c7\u7684\u8907\u96dc\u5f71\u97ff\u8207\u95dc\u806f\uff0c\u6211\u5011\u9996\u5148\u5617\u8a66\u63d0\u51fa\u5275\u65b0\u7684\u5206\u6790\u548c \u9810\u6e2c\u6280\u8853\uff1a (\u4e00) \u63d0\u4f9b\u6182\u9b31\u75c7\u60a3\u8005\u7db2\u8a8c\u6587\u7ae0\u7684\u6182\u9b31\u50be\u5411\u8207\u76f8\u95dc\u56e0\u7d20\u5206\u6790\uff0c(\u4e8c) \u5efa\u69cb\u4e00\u500b \u4e8b \u4ef6 \u60c5 \u7dd2 \u9a45 \u52d5 \u7684 \u6182 \u9b31 \u50be \u5411 \u9810 \u6e2c \u6a21 \u578b (Event-Emotion-driven Depression Tendency Prediction Model)\u3002\u9019\u4e9b\u5206\u6790\u5831\u544a\u548c\u5275\u65b0\u6280\u8853\u61c9\u8a72\u80fd\u5920\u6709\u6548\u5730\u63d0\u65e9\u5224\u65b7\u5177\u6709\u6182\u9b31\u50be\u5411\u7684 \u90e8\u843d\u683c\u4f5c\u8005\uff0c\u5efa\u8b70\u4ed6\u5011\u76e1\u901f\u5c0b\u6c42\u5c08\u696d\u91ab\u7642\u7684\u5354\u52a9\u3002\u4e0b\u9762\u6211\u5011\u5c07\u8a73\u7d30\u8aaa\u660e\u672c\u7814\u7a76\u7814\u7a76\u53ca\u767c \u5c55\u7684\u4e3b\u8981\u5206\u6790\u65b9\u6cd5\u8207\u9810\u6e2c\u6280\u8853\u3002 (\u4e00) \u6182\u9b31\u75c7\u60a3\u8005\u7db2\u8a8c\u6587\u7ae0\u7684\u6182\u9b31\u50be\u5411\u8207\u76f8\u95dc\u56e0\u7d20\u5206\u6790 1. \u521d\u6b65\u7684\u89c0\u5bdf\u548c\u5206\u6790 \u6839\u64da\u6211\u5011\u5c0d\u6182\u9b31\u75c7\u60a3\u8005\u7db2\u8a8c\u6587\u7ae0\u7684\u89c0\u5bdf\uff0c\u7576\u6182\u9b31\u75c7\u60a3\u8005\u5728\u64b0\u5beb\u6587\u7ae0\u6642\u7d93\u5e38\u6703\u51fa\u73fe \u5404\u7a2e\u8ca0\u9762\u60c5\u7dd2\u5b57\u773c\u4f8b\u5982\"\u5927\u54ed\"\u3001\"\u6050\u614c\"\u3001\"\u7126\u616e\"\u3001\"\u6cae\u55aa\" (\u5716\u4e00)\uff0c\u800c\u9019\u4e9b\u8ca0\u9762\u60c5\u7dd2\u5927\u90e8 \u5206\u7531\u4e00\u822c\u751f\u6d3b\u4e0a\u7684\u4e8b\u4ef6\u6240\u5f15\u8d77\uff0c\u5982\"\u91cd\u8003\"\u3002\u6bd4\u8f03\u56b4\u91cd\u7684\u6182\u9b31\u75c7\u60a3\u8005\u5728\u64b0\u5beb\u6587\u7ae0\u6642\uff0c\u9664\u4e86 \u6703\u51fa\u73fe\u6bd4\u8f03\u5f37\u70c8\u7684\u8ca0\u9762\u60c5\u7dd2\u5b57\u773c\uff0c\u751a\u81f3\u6703\u51fa\u73fe\u8eab\u9ad4\u75c7\u72c0\u548c\u5f15\u767c\u5fc3\u7406\u56b4\u91cd\u7684\u8ca0\u9762\u60f3\u6cd5\uff0c\u4f8b \u5982\"\u60f3\u6b7b\"\u548c\"\u81ea\u6bba\"\u3002 2. \u4e3b\u8981\u7684\u5206\u6790\u65b9\u6cd5\uff1a \u85c9\u7531\u5927\u91cf\u6182\u9b31\u75c7\u60a3\u8005\u7db2\u8a8c\u6587\u7ae0\u89c0\u5bdf\uff0c\u6211\u5011\u63d0\u51fa\u4ee5\u4e8b\u4ef6\u3001\u8ca0\u9762\u60c5\u7dd2\u3001\u75c7\u72c0\u3001\u8ca0\u9762\u60f3 \u6cd5\u56db\u9805\u91cd\u8981\u7279\u5fb5\u70ba\u4e3b\u7684\u6182\u9b31\u50be\u5411\u5275\u65b0\u5206\u6790\u65b9\u6cd5\uff0c\u7136\u5f8c\u6211\u5011\u6839\u64da\u5169\u500b\u91ab\u5b78\u5206\u6790\u6a21\u578b\u4f86\u63a2\u8a0e \u6211\u5011\u63d0\u51fa\u7684\u5206\u6790\u65b9\u6cd5\u7684\u6709\u6548\u6027\u548c\u512a\u9ede\u3002 (1) \u751f\u7269\u5fc3\u7406\u793e\u6703\u5206\u6790\u6a21\u578b 1977 \u5e74\u5b78\u8005 Engel[2]\u63d0\u51fa\u751f\u7269\u3001\u5fc3\u7406\u3001\u793e\u6703\u4e09\u5408\u4e00\u5206\u6790\u6a21\u578b(Biopsychosocial Model, BPS Model)\u7684\u65b0\u91ab\u5b78\u6982\u5ff5\uff0c\u5c0d\u65bc\u75c5\u60a3\u9762\u5c0d\u75be\u75c5\u7684\u5206\u6790\u56e0\u7d20\u5305\u542b\u4e86\u751f\u7269\u9762(Biological)\u3001\u5fc3 \u7406\u9762(Psychological)\u548c\u793e\u6703\u9762(Social)\u7684\u4e09\u65b9\u56e0\u7d20\u3002\u5176\u4e2d\u751f\u7269\u9762\u5373\u662f\u8eab\u9ad4\u75c7\u72c0(Symptom)\uff0c \u5fc3\u7406\u9762\u5247\u6db5\u84cb\u4e86\u60c5\u7dd2(Emotion)\u3001\u60f3\u6cd5(Thought)\u8207\u884c\u70ba(Behavior)\uff0c\u793e\u6703\u9762\u5373\u662f\u75c5\u60a3\u9762\u5c0d \u7684\u74b0\u5883\u56e0\u7d20\uff0c\u63db\u500b\u89d2\u5ea6\u8b1b\uff0c\u4e5f\u5c31\u662f\u75c5\u60a3\u6240\u767c\u751f\u7684\u751f\u6d3b\u4e8b\u4ef6(Event)\u3002\u900f\u904e\u9032\u4e00\u6b65\u7684\u5206\u6790\u6bd4 \u8f03\u5f8c\uff0c\u6211\u5011\u53ef\u4ee5\u5c07 BPS \u6a21\u578b\u7684\u4e09\u500b\u4e3b\u8981\u56e0\u7d20\u5c0d\u61c9\u5230\u6211\u5011\u63d0\u51fa\u7684\u5275\u65b0\u6182\u9b31\u75c7\u5206\u6790\u65b9\u6cd5\u7684 \u56db\u9805\u56e0\u7d20\uff0c\u5982\u8868\u4e00\u6240\u793a\uff0c\u9019\u6a23\u7684\u76f8\u4f3c\u5c0d\u61c9\u95dc\u4fc2\u986f\u793a\u6211\u5011\u7684\u5206\u6790\u65b9\u6cd5\u61c9\u8a72\u5168\u9762\u6027\u5730\u6db5\u84cb\u6182 \u9b31\u50be\u5411\u7684\u76f8\u95dc\u91cd\u8981\u56e0\u7d20\u3002 \u8868\u4e00\u3001BPS model \u8207\u672c\u7814\u7a76\u5206\u6790\u65b9\u6cd5\u7684\u5c0d\u61c9\u95dc\u4fc2 Correspondence Symptom Emotion Thought Behavior ( | ) (1) Event Our analysis method Symptom Negative Emotion Negative Blogger's posts \u6839\u64da\u672c\u7814\u7a76\u89c0\u5bdf\u5177\u6709\u9ad8\u5ea6\u6182\u9b31\u50be\u5411\u4f5c\u8005\u7684\u90e8\u843d\u683c\u6587\u7ae0\uff0c\u767c\u73fe\u4f5c\u8005\u5beb\u4e0b\u5177\u6709\u8ca0\u9762\u60c5 Negative Thought Event (2) DSM-IV-TR \u6182\u9b31\u75c7\u81e8\u5e8a\u5224\u5225\u6a19\u6e96 \u73fe\u4eca\u7684\u91ab\u5b78\u5c1a\u672a\u63d0\u4f9b\u751f\u7269\u6aa2\u6e2c\u65b9\u6cd5\u4ee5\u76f4\u63a5\u78ba\u8a3a\u6182\u9b31\u75c7\u60a3\u8005\u3002\u4ee5\u91cd\u5ea6\u6182\u9b31\u75c7\u800c\u8a00\uff0c \u7cbe\u795e\u79d1\u91ab\u5e2b\u76ee\u524d\u4e3b\u8981\u6839\u64da\u7f8e\u570b\u7cbe\u795e\u75be\u75c5\u5354\u6703(American Psychiatric Association, APA) \u7684 \u7cbe\u795e\u75be\u75c5\u8a3a\u65b7\u8207\u7d71\u8a08\u624b\u518a\u7b2c\u56db\u7248\u4fee\u8a02\u7248(DSM-IV-TR)\u7684\u4e5d\u9805\u5224\u5225\u6a19\u6e96\u5c0d\u75c5\u60a3\u505a\u7be9\u6aa2\u548c \u8a3a\u65b7\u3002\u5982\u8868\u4e8c\u6240\u793a\uff0c\u6211\u5011\u63d0\u51fa\u7684\u6182\u9b31\u50be\u5411\u5206\u6790\u65b9\u6cd5\u7684\u8ca0\u9762\u60c5\u7dd2\u56e0\u7d20\uff0c\u53ef\u4ee5\u76f8\u5c0d\u61c9 DSM-IV-TR \u7684\u524d\u4e09\u9805\u5224\u5225\u6a19\u6e96(\u9805\u6b21 1\u30012\u30013)\u3002\u6182\u9b31\u75c7\u60a3\u8005\u7684\u7db2\u8a8c\u6587\u7ae0\u4e5f\u5e38\u51fa\u73fe\u8ca0\u9762\u60c5 \u7dd2\u4f34\u96a8\u8457\u8ca0\u9762\u7684\u751f\u7406\u75c7\u72c0\uff0c\u8b6c\u5982\u8aaa\u54ed\u6ce3\u3001\u982d\u75db\u3001\u5931\u7720\u3001\u98df\u617e\u4e0b\u964d\u7b49\u7b49\u3002\u9019\u4e9b\u75c7\u72c0\u525b\u597d\u7b26 \u5408\u8868 1 \u4e2d DSM-IV-TR \u7684 4\u30015\u30016\u30017 \u9805\u5224\u5225\u6a19\u6e96\u3002\u53e6\u5916\u6182\u9b31\u75c7\u60a3\u8005\u7684\u7db2\u8a8c\u6587\u7ae0\u4e5f\u5e38\u51fa\u73fe \u8ca0\u9762\u60f3\u6cd5\uff0c\u4f8b\u5982\u81ea\u6bba\u3001\u8df3\u6a13\u3001\u81ea\u6b98\u3001\u71d2\u70ad\u7b49\u7b49\u3002\u9019\u4e9b\u8ca0\u9762\u60f3\u6cd5\u4e5f\u7b26\u5408\u8868\u4e8c\u4e2d DSM-IV-TR \u7684\u7b2c 8\u30019 \u5169\u9805\u5224\u5225\u6a19\u6e96\u3002\u6839\u64da\u9019\u4e09\u9805\u56e0\u7d20\u7684\u5c0d\u61c9\u95dc\u4fc2\uff0c\u53ef\u4ee5\u6e05\u695a\u986f\u793a\u6211\u5011\u7684\u5206\u6790\u65b9\u6cd5 \u61c9\u8a72\u6709\u6548\u5730\u6db5\u84cb\u6182\u9b31\u75c7\u81e8\u5e8a\u8a3a\u65b7\u5224\u5225\u6a19\u6e96\u3002\u503c\u5f97\u6ce8\u610f\u7684\u662f\u6211\u5011\u63d0\u51fa\u7684\u4e8b\u4ef6\u56e0\u7d20\u4e26\u672a\u51fa\u73fe \u5728 DSM-IV-TR \u7684\u4e5d\u9805\u5224\u5225\u6a19\u6e96\uff0c\u672c\u7814\u7a76\u63d0\u51fa\u9019\u9805\u5275\u65b0\u56e0\u7d20\uff0c\u4e26\u6df1\u5165\u63a2\u7a76\u662f\u5426\u53ef\u4ee5\u6709\u6548 \u5730\u5354\u52a9\u5206\u6790\u6182\u9b31\u50be\u5411\u3002 \u8868\u4e8c\u3001DSM-IV-TR \u91cd\u5ea6\u6182\u9b31\u75c7\u4e5d\u9805\u5224\u5225\u6a19\u6e96\u8207\u672c\u7814\u7a76\u63d0\u51fa\u7684\u6182\u9b31\u56e0\u7d20\u5c0d\u61c9\u95dc\u4fc2 \u5224\u5225\u6a19\u6e96 \u8aaa\u660e \u6182\u9b31\u50be\u5411 \u56e0\u7d20 1 \u6182\u9b31\u60c5\u7dd2\uff1a\u5feb\u6a02\u4e0d\u8d77\u4f86\u3001\u7169\u8e81\u3001\u9b31\u60b6 \u8ca0\u9762\u60c5\u7dd2 2 \u8208\u8da3\u8207\u559c\u6a02\u6e1b\u5c11\uff1a\u63d0\u4e0d\u8d77\u8208\u8da3 3 \u7121\u6cd5\u5c08\u6ce8\uff1a\u7121\u6cd5\u6c7a\u65b7\u3001\u77db\u76fe\u7336\u8c6b\u3001\u7121\u6cd5\u5c08\u5fc3 4 \u9ad4\u91cd\u548c\u98df\u617e\u5931\u5e38\uff1a\u9ad4\u91cd\u4e0b\u964d(\u6216\u589e\u52a0)\u3001\u98df\u617e\u4e0b\u964d(\u6216\u589e\u52a0) \u75c7\u72c0 5 \u5931\u7720(\u6216\u55dc\u7761)\uff1a\u96e3\u5165\u7761\u6216\u6574\u5929\u60f3\u7761 6 \u7cbe\u795e\u904b\u52d5\u6027\u9072\u6eef(\u6216\u6fc0\u52d5)\uff1a\u601d\u8003\u52d5\u4f5c\u8b8a\u7de9\u6162\u3001\u8166\u7b4b\u8b8a\u920d 7 \u75b2\u7d2f\u5931\u53bb\u6d3b\u529b\uff1a\u6574\u5929\u60f3\u8eba\u5e8a\u3001\u9ad4\u529b\u8b8a\u5dee 8 \u7121\u50f9\u503c\u611f\u6216\u7f6a\u60e1\u611f\uff1a\u89ba\u5f97\u6d3b\u8457\u6c92\u610f\u601d\u3001\u81ea\u8cac\u96e3\u904e\uff0c\u90fd\u662f\u8ca0\u9762\u60f3 \u6cd5 \u8ca0\u9762\u60f3\u6cd5 9 \u81ea\u6bba\u610f\u5716\uff1a\u53cd\u8986\u60f3\u5230\u6b7b\u4ea1\uff0c\u751a\u81f3\u6709\u81ea\u6bba\u610f\u5ff5\u3001\u4f01\u5716\u6216\u8a08\u756b \u5716\u4e8c\u3001\u90e8\u843d\u683c\u4f5c\u8005\u7684\u6182\u9b31\u50be\u5411\u9810\u6e2c\u7cfb\u7d71\u67b6\u69cb (\u4e8c) \u90e8\u843d\u683c\u4f5c\u8005\u7684\u6182\u9b31\u50be\u5411\u9810\u6e2c\u6a21\u578b (1) \u554f\u984c\u548c\u69cb\u60f3 \u6182\u9b31\u539f\u672c\u662f\u4e00\u500b\u62bd\u8c61\u6982\u5ff5\uff0c\u96fb\u8166\u7cfb\u7d71\u7121\u6cd5\u5f9e\u90e8\u843d\u683c\u4f5c\u8005\u6587\u7ae0\u4e2d\u76f4\u63a5\u5224\u5225\u4ed6\u7684\u6182\u9b31 \u50be\u5411\uff0c\u7136\u800c\u6839\u64da\u6211\u5011\u5c0d\u6182\u9b31\u75c7\u60a3\u8005\u7db2\u8a8c\u6587\u7ae0\u7684\u89c0\u5bdf\uff0c\u6182\u9b31\u75c7\u60a3\u8005\u64b0\u5beb\u7684\u6587\u7ae0\u7d93\u5e38\u6703\u51fa\u73fe \u8ca0\u9762\u60c5\u7dd2\u3001\u4e8b\u4ef6\u3001\u75c7\u72c0\u548c\u8ca0\u9762\u60f3\u6cd5 (\u5982\u5716\u4e00)\u3002\u56e0\u6b64\u70ba\u4e86\u8b93\u96fb\u8166\u7cfb\u7d71\u6709\u6548\u5730\u81ea\u52d5\u9810\u6e2c\u90e8 \u843d \u683c \u4f5c \u8005 \u7684 \u6182 \u9b31 \u50be \u5411 \uff0c \u6211 \u5011 \u69cb \u60f3 \u63d0 \u51fa \u4e8b \u4ef6 \u60c5 \u7dd2 \u9a45 \u52d5 \u7684 \u6182 \u9b31 \u50be \u5411 \u9810 \u6e2c \u6a21 \u578b (Event-Emotion-driven Depression Tendency Prediction Model)\uff0c\u85c9\u7531\u8ca0\u9762\u60c5\u7dd2\u3001\u4e8b\u4ef6\u3001 \u75c7\u72c0\u548c\u8ca0\u9762\u60f3\u6cd5\u7279\u5fb5\u7684\u5206\u6790\uff0c\u7136\u5f8c\u5224\u5225\u51fa\u90e8\u843d\u683c\u4f5c\u8005\u7684\u6182\u9b31\u50be\u5411\u3002\u5716\u4e8c\u5c55\u793a\u6211\u5011\u63d0\u51fa\u7684 \u90e8\u843d\u683c\u4f5c\u8005\u7684\u6182\u9b31\u50be\u5411\u9810\u6e2c\u7cfb\u7d71\u67b6\u69cb\uff0c\u9996\u5148\u8f38\u5165\u67d0\u4f4d\u90e8\u843d\u683c\u4f5c\u8005\u55ae\u7bc7\u6216\u6578\u7bc7\u7684\u90e8\u843d\u683c\u6587 \u7ae0\uff0c\u5229\u7528\u56db\u500b\u6182\u9b31\u56e0\u7d20\u8a5e\u5f59\u96c6\uff0c\u7cfb\u7d71\u53ef\u4ee5\u64f7\u53d6\u51fa\u8ca0\u9762\u60c5\u7dd2\u3001\u4e8b\u4ef6\u3001\u75c7\u72c0\u548c\u8ca0\u9762\u60f3\u6cd5\u56db\u7a2e \u985e\u578b\u7684\u6182\u9b31\u7279\u5fb5\uff0c\u7136\u5f8c\u4f7f\u7528\u4e8b\u4ef6\u60c5\u7dd2\u9a45\u52d5\u7684\u6182\u9b31\u50be\u5411\u9810\u6e2c\u6a21\u578b (EEDTP)\u4f86\u8a08\u7b97\u90e8\u843d\u683c\u4f5c \u8005\u7684\u6182\u9b31\u50be\u5411\u5206\u6578\u3002 (2) \u4e8b\u4ef6\u60c5\u7dd2\u9a45\u52d5\u7684\u6182\u9b31\u50be\u5411\u9810\u6e2c\u6a21\u578b(Event-Emotion-driven Depression Tendency Prediction Model) Event-Emotion-driven Depression Tendency Prediction Model Depression Tendency Score Negative Thought Negative Emotion Symptom Negative Event Negative Thought Negative Emotion Negative Event Symptom \u7dd2(Negative Emotion)\u7684\u90e8\u843d\u683c\u6587\u7ae0\u6642\uff0c\u5f80\u5f80\u6709\u5f88\u9ad8\u7684\u6bd4\u4f8b\u662f\u56e0\u70ba\u67d0\u4e9b\u4e8b\u4ef6(Event)\u9020 \u9019\u5e7e\u5e74\u5728\u81ea\u7136\u8a9e\u8a00\u8655\u7406\u9818\u57df\u4e2d\uff0c\u6709\u9700\u591a\u76f8\u95dc\u4e8b\u4ef6\u64f7\u53d6\u7684\u7814\u7a76\u30022005 \u5e74 Event Relation \u7684\u5075\u6e2c\uff0c\u4e3b\u8981\u662f\u904b\u7528\u5b78\u8853\u4e0a\u5ee3\u6cdb\u4f7f\u7528\u7684\u8a5e\u5178\u8cc7\u6e90\uff0c\u5982\uff1aWordnet Depression Lexicons \u6210\u4f5c\u8005\u5fc3\u60c5\u4e0d\u4f73\uff0c\u6216\u662f\u4f34\u96a8\u8457\u75c7\u72c0(Symptom) \u3001\u66f4\u751a\u6709\u4e0d\u597d\u7684\u8ca0\u9762\u60f3\u6cd5(Negative \u548c Framenet\uff0c\u4f86\u8a13\u7df4\u5305\u542b\u8a9e\u6cd5\u8207\u8a9e\u610f\u8cc7\u8a0a\u7684\u7279\u5b9a\u9818\u57df\u52d5\u8a5e\u8a5e\u5f59\u7db2 Verbnet\u3002 Depression Feature Extraction Thought)\u3002\u6211\u5011\u5c07\u8ca0\u9762\u60c5\u7dd2\u3001\u4e8b\u4ef6\u3001\u75c7\u72c0\u53ca\u8ca0\u9762\u60f3\u6cd5\u9019\u56db\u9805\u7a31\u70ba\u6182\u9b31\u56e0\u7d20\uff0c\u56e0\u6b64\u516c\u5f0f
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