看起来像是对字符集的错误检测。您可以在编制索引之前通过编写自定义解析过滤器对内容进行规范化，并删除不需要的字符。

如果编写一个自定义的解析过滤器和规范化看起来很困难。您只需在analyzer定义中添加asciifolding令牌过滤器，即可将非ascii字符转换为ascii字符，如下所示
发布http://{hostname}}:{{port}}/\u分析

{
    "tokenizer": "standard",
    "filter": [
        "asciifolding"
    ],
    "text": "Pharmaceutical Marketing Building â responsibilities.  Mass. â Aug. 13, 2020 âÂ"
}

并为你的文本生成标记。

{
    "tokens": [
        {
            "token": "Pharmaceutical",
            "start_offset": 0,
            "end_offset": 14,
            "type": "<ALPHANUM>",
            "position": 0
        },
        {
            "token": "Marketing",
            "start_offset": 15,
            "end_offset": 24,
            "type": "<ALPHANUM>",
            "position": 1
        },
        {
            "token": "Building",
            "start_offset": 25,
            "end_offset": 33,
            "type": "<ALPHANUM>",
            "position": 2
        },
        {
            "token": "a",
            "start_offset": 34,
            "end_offset": 35,
            "type": "<ALPHANUM>",
            "position": 3
        },
        {
            "token": "responsibilities.A",
            "start_offset": 36,
            "end_offset": 54,
            "type": "<ALPHANUM>",
            "position": 4
        },
        {
            "token": "A",
            "start_offset": 55,
            "end_offset": 56,
            "type": "<ALPHANUM>",
            "position": 5
        },
        {
            "token": "Mass",
            "start_offset": 57,
            "end_offset": 61,
            "type": "<ALPHANUM>",
            "position": 6
        },
        {
            "token": "a",
            "start_offset": 63,
            "end_offset": 64,
            "type": "<ALPHANUM>",
            "position": 7
        },
        {
            "token": "Aug",
            "start_offset": 65,
            "end_offset": 68,
            "type": "<ALPHANUM>",
            "position": 8
        },
        {
            "token": "13",
            "start_offset": 70,
            "end_offset": 72,
            "type": "<NUM>",
            "position": 9
        },
        {
            "token": "2020",
            "start_offset": 74,
            "end_offset": 78,
            "type": "<NUM>",
            "position": 10
        },
        {
            "token": "aA",
            "start_offset": 79,
            "end_offset": 81,
            "type": "<ALPHANUM>",
            "position": 11
        }
    ]
}