① Python SnowNLP鎯呮劅鍒嗘瀽瀹炶返涓庝紭鍖栨葷粨
鐢變簬璇鏂欑己涔忥紝鍓嶆湡鑻ヤ嬌鐢ㄥ埌鎯呮劅鍒嗘瀽錛屽緩璁鏆傛椂浣跨敤SnowNLP錛堟ゆā鍧椾富瑕佷嬌鐢ㄦ窐瀹濊瘎璁鴻鏂欙級鍋氭儏鎰熸寲鎺橈紝浣嗕笉浠呬粎涓哄崟綰璋冪敤錛岄渶瑕佷紭鍖栵紝涓嬮潰鏄涓浜涘疄璺墊濊冿細
鍙鍦ㄦゅ熀紜涓婁紭鍖栵紝姣斿傛枃鏈闇瑕佺壒鍒澶勭悊錛岄櫎浜嗗鉤甯哥殑鍘誨仠鐢ㄨ瘝澶栵紝榪樺彲浠ラ渶瑕佸硅緭鍏ョ殑鏂囨湰緇撳悎璇嶆х瓑榪涜屽勭悊銆
涓嬮潰鏄涓浜涘父璇嗭細
涓錛夋棤鎯呮劅鐨勮瘝璇(濡傚幓鍋滅敤璇嶏紝鍘繪帀璇姘旇瘝錛屾棤璇嶆ф爣絳劇殑璇嶈錛
浜岋級瀵逛簬鏂囨湰榪囬暱錛屽垯鍙浠ヨ冭檻鎻愬彇鍏抽敭璇嶆垨鎶藉彇鏂囨湰鎽樿佸悗鍐嶆彁鍙栧叧閿璇
瀵逛簬鍚庤呭疄璺電粨鏋滃樊寮傛槑鏄撅細
浠"鍙戝竷浜嗗ご鏉℃枃絝狅細 銆5鍒嗛挓11浜匡紒浜涓滃弻11鍦烘櫙鍖栦駭鍝佹秷璐瑰為暱鏄庢樉銆 5鍒嗛挓11浜匡紒浜涓滃弻11鍦烘櫙鍖栦駭鍝佹秷璐瑰為暱鏄庢樉 "涓轟緥瀛愶紝 鏄劇劧璇ユ枃鏈涓衡滅Н鏋****鈥濇枃鏈銆
1錛塻 = SnowNLP錛"鍙戝竷浜嗗ご鏉℃枃絝狅細銆5鍒嗛挓11浜匡紒浜涓滃弻11鍦烘櫙鍖栦駭鍝佹秷璐瑰為暱鏄庢樉銆 5鍒嗛挓11浜匡紒浜涓滃弻11鍦烘櫙鍖栦駭鍝佹秷璐瑰為暱鏄庢樉"錛
寰楀垎涓0.5錛屾槑鏄句笉絎﹀悎
2錛塻 = SnowNLP錛堚 鈥.join(jieba.analyse.textrank("鍙戝竷浜嗗ご鏉℃枃絝狅細銆5鍒嗛挓11浜匡紒浜涓滃弻11鍦烘櫙鍖栦駭鍝佹秷璐瑰為暱鏄庢樉銆 5鍒嗛挓11浜匡紒浜涓滃弻11鍦烘櫙鍖栦駭鍝佹秷璐瑰為暱鏄庢樉")))
鑰屽逛簬鏂囨湰鐗瑰埆闀跨殑錛屽垯鍙浠ュ厛鎶藉彇鎽樿侊紝鍐嶅規憳瑕佹彁鍙栧叧閿璇嶃
榪欎富瑕佺敱浜庢SnowNLP涓昏佺敤璐濆彾鏂鏈哄櫒瀛︿範鏂規硶榪涜岃緇冩枃鏈錛屾満鍣ㄥ︿範鍦ㄨ鏂欒嗙洊涓婁笉澶燂紝鐗瑰緛涓婂伐紼嬪勭悊涓嶅綋浼氬噺鍒嗭紝涔熸病鑰冭檻璇涔夌瓑銆
涓轟綍瑕佽冭檻璇涔夊眰闈錛
浠モ 鑻忓畞鏄撹喘錛屾槸璋佺粰浣犱滑涓嬫灦OV鐨勫媷姘****鈥 涓鐨勨 涓嬫灦鈥濆叾瀹炴墠鏄涓蹇冭瘝錛堜負琛ㄨ揪鎰ゆ掔殑鏂囨湰錛夛紝浣嗏 鍕囨皵 鈥濅負涓嬫灦鐨勫捐錛堝叾涓虹Н鏋佺殑鏂囨湰錛夛紝姝ゅ彞搴旇ョ粨鏋滃皬浜0.5錛屼絾瀹為檯涓0.88錛屽幓鎺夆滆嫃瀹佹槗璐鈥濆垯涓0.6>