shuangli-z
commented
4 hours ago {"citations":[{"generatedResponsePart":{"textResponsePart":{"span":{"end":252,"start":0},"text":"To remove stop words from text, you can use the stop token filter in OpenSearch. The stop token filter removes stop words from a token stream. You can configure a custom analyzer that uses the stop token filter to remove stop words from your text."}},"retrievedReferences":[{"content":{"text":"stopwords array: json GET /_analyze { \"tokenizer\" : \"whitespace\", \"filter\" : [\"lowercase\", {\"type\": \"stop\", \"stopwords\": [ \"to\", \"in\"]}], \"text\" : \"how to train your dog in five steps\" } {% include copy-curl.html %} The previous request returns the following fields: json { \"tokens\" : [ { \"token\" : \"how\", \"start_offset\" : 0, \"end_offset\" : 3, \"type\" : \"word\", \"position\" : 0 }, { \"token\" : \"train\", \"start_offset\" : 7, \"end_offset\" : 12, \"type\" : \"word\", \"position\" : 2 }, { \"token\" : \"your\", \"start_offset\" : 13, \"end_offset\" : 17, \"type\" : \"word\", \"position\" : 3 }, { \"token\" : \"dog\", \"start_offset\" : 18, \"end_offset\" : 21, \"type\" : \"word\", \"position\" : 4 }, { \"token\" : \"five\", \"start_offset\" : 25, \"end_offset\" : 29, \"type\" : \"word\", \"position\" : 6 }, { \"token\" : \"steps\", \"start_offset\" : 30, \"end_offset"},"location":{"s3Location":{"uri":"s3://knowledge-base-latest/documentation-website/_api-reference/analyze-apis.md"},"type":"S3"},"metadata":{"x-amz-bedrock-kb-source-uri":"s3://knowledge-base-latest/documentation-website/_api-reference/analyze-apis.md","x-amz-bedrock-kb-chunk-id":"1%3A0%3A7dN9s5IBto9JYLdmJDvw","x-amz-bedrock-kb-data-source-id":"QXWHUMLMDN"}}]},{"generatedResponsePart":{"textResponsePart":{"span":{"end":937,"start":254},"text":"For example, the following request creates a new index named `custom_text_index` with a custom analyzer that uses the `stop` token filter to remove stop words like \"to\" and \"in\":\n```json\nPUT /custom_text_index\n{\n \"settings\": {\n \"analysis\": {\n \"analyzer\": {\n \"custom_analyzer\": {\n \"type\": \"custom\",\n \"tokenizer\": \"standard\",\n \"filter\": [\n \"lowercase\",\n {\n \"type\": \"stop\",\n \"stopwords\": [\"to\", \"in\"]\n }\n ]\n }\n }\n }\n },\n \"mappings\": {\n \"properties\": {\n \"content\": {\n \"type\": \"text\",\n \"analyzer\": \"custom_analyzer\"\n }\n }\n }\n}\n```"}},"retrievedReferences":[{"content":{"text":"`stopwords` array:json GET /_analyze { \"tokenizer\" : \"whitespace\", \"filter\" : [\"lowercase\", {\"type\": \"stop\", \"stopwords\": [ \"to\", \"in\"]}], \"text\" : \"how to train your dog in five steps\" } {% include copy-curl.html %} The previous request returns the following fields:json { \"tokens\" : [ { \"token\" : \"how\", \"start_offset\" : 0, \"end_offset\" : 3, \"type\" : \"word\", \"position\" : 0 }, { \"token\" : \"train\", \"start_offset\" : 7, \"end_offset\" : 12, \"type\" : \"word\", \"position\" : 2 }, { \"token\" : \"your\", \"start_offset\" : 13, \"end_offset\" : 17, \"type\" : \"word\", \"position\" : 3 }, { \"token\" : \"dog\", \"start_offset\" : 18, \"end_offset\" : 21, \"type\" : \"word\", \"position\" : 4 }, { \"token\" : \"five\", \"start_offset\" : 25, \"end_offset\" : 29, \"type\" : \"word\", \"position\" : 6 }, { \"token\" : \"steps\", \"start_offset\" : 30, \"end_offset"},"location":{"s3Location":{"uri":"s3://knowledge-base-latest/documentation-website/_api-reference/analyze-apis.md"},"type":"S3"},"metadata":{"x-amz-bedrock-kb-source-uri":"s3://knowledge-base-latest/documentation-website/_api-reference/analyze-apis.md","x-amz-bedrock-kb-chunk-id":"1%3A0%3A7dN9s5IBto9JYLdmJDvw","x-amz-bedrock-kb-data-source-id":"QXWHUMLMDN"}}]}],"output":{"text":"To remove stop words from text, you can use the stop token filter in OpenSearch. The stop token filter removes stop words from a token stream. You can configure a custom analyzer that uses the stop token filter to remove stop words from your text. For example, the following request creates a new index named custom_text_index with a custom analyzer that uses the stop token filter to remove stop words like \"to\" and \"in\":\njson\nPUT /custom_text_index\n{\n \"settings\": {\n \"analysis\": {\n \"analyzer\": {\n \"custom_analyzer\": {\n \"type\": \"custom\",\n \"tokenizer\": \"standard\",\n \"filter\": [\n \"lowercase\",\n {\n \"type\": \"stop\",\n \"stopwords\": [\"to\", \"in\"]\n }\n ]\n }\n }\n }\n },\n \"mappings\": {\n \"properties\": {\n \"content\": {\n \"type\": \"text\",\n \"analyzer\": \"custom_analyzer\"\n }\n }\n }\n}\n"},"sessionId":"cb9b1111-9c7a-4bdc-b6fe-5299f0abc9de"}
I want to remove stop words from the text.