Elasticsearch 系列指南（三）——整合ik分詞器
阿新 • • 發佈：2018-12-22
由此可見自帶分詞器將其分成一個一個的字，這在我們使用過程中並不是很友好，因此ik分詞器相反是更好的選擇，那麼接下來我們就看看ik分詞器的安裝使用{ "tokens": [ { "token": "聯", "start_offset": 0, "end_offset": 1, "type": "<IDEOGRAPHIC>", "position": 1 }, { "token": "想", "start_offset": 1, "end_offset": 2, "type": "<IDEOGRAPHIC>", "position": 2 }, { "token": "召", "start_offset": 2, "end_offset": 3, "type": "<IDEOGRAPHIC>", "position": 3 }, { "token": "回", "start_offset": 3, "end_offset": 4, "type": "<IDEOGRAPHIC>", "position": 4 }, { "token": "筆", "start_offset": 4, "end_offset": 5, "type": "<IDEOGRAPHIC>", "position": 5 }, { "token": "記", "start_offset": 5, "end_offset": 6, "type": "<IDEOGRAPHIC>", "position": 6 }, { "token": "本", "start_offset": 6, "end_offset": 7, "type": "<IDEOGRAPHIC>", "position": 7 }, { "token": "電", "start_offset": 7, "end_offset": 8, "type": "<IDEOGRAPHIC>", "position": 8 }, { "token": "源", "start_offset": 8, "end_offset": 9, "type": "<IDEOGRAPHIC>", "position": 9 }, { "token": "線", "start_offset": 9, "end_offset": 10, "type": "<IDEOGRAPHIC>", "position": 10 } ] }