[ aws . comprehend ]
batch-detect-syntax¶
Description¶
Inspects the text of a batch of documents for the syntax and part of speech of the words in the document and returns information about them. For more information, see Syntax in the Comprehend Developer Guide.
See also: AWS API Documentation
Synopsis¶
batch-detect-syntax
--text-list <value>
--language-code <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]
Options¶
--text-list (list)
A list containing the UTF-8 encoded text of the input documents. The list can contain a maximum of 25 documents. The maximum size for each document is 5 KB.
(string)
Syntax:
"string" "string" ...
--language-code (string)
The language of the input documents. You can specify any of the following languages supported by Amazon Comprehend: German (“de”), English (“en”), Spanish (“es”), French (“fr”), Italian (“it”), or Portuguese (“pt”). All documents must be in the same language.
Possible values:
enesfrdeitpt
--cli-input-json | --cli-input-yaml (string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.
--generate-cli-skeleton (string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.
Global Options¶
--debug (boolean)
Turn on debug logging.
--endpoint-url (string)
Override command’s default URL with the given URL.
--no-verify-ssl (boolean)
By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.
--no-paginate (boolean)
Disable automatic pagination.
--output (string)
The formatting style for command output.
- json
- text
- table
- yaml
- yaml-stream
--query (string)
A JMESPath query to use in filtering the response data.
--profile (string)
Use a specific profile from your credential file.
--region (string)
The region to use. Overrides config/env settings.
--version (string)
Display the version of this tool.
--color (string)
Turn on/off color output.
- on
- off
- auto
--no-sign-request (boolean)
Do not sign requests. Credentials will not be loaded if this argument is provided.
--ca-bundle (string)
The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
--cli-read-timeout (int)
The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.
--cli-connect-timeout (int)
The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.
--cli-binary-format (string)
The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb:// will always be treated as binary and use the file contents directly regardless of the cli-binary-format setting. When using file:// the file contents will need to properly formatted for the configured cli-binary-format.
- base64
- raw-in-base64-out
--no-cli-pager (boolean)
Disable cli pager for output.
--cli-auto-prompt (boolean)
Automatically prompt for CLI input parameters.
--no-cli-auto-prompt (boolean)
Disable automatically prompt for CLI input parameters.
Examples¶
Note
To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.
Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal’s quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .
To inspect the syntax and parts of speech of words in multiple input texts
The following batch-detect-syntax example analyzes the syntax of multiple input texts and returns the different parts of speech. The pre-trained model’s confidence score is also output for each prediction.
aws comprehend batch-detect-syntax \
--text-list "It is a beautiful day." "Can you please pass the salt?" "Please pay the bill before the 31st." \
--language-code en
Output:
{
"ResultList": [
{
"Index": 0,
"SyntaxTokens": [
{
"TokenId": 1,
"Text": "It",
"BeginOffset": 0,
"EndOffset": 2,
"PartOfSpeech": {
"Tag": "PRON",
"Score": 0.9999740719795227
}
},
{
"TokenId": 2,
"Text": "is",
"BeginOffset": 3,
"EndOffset": 5,
"PartOfSpeech": {
"Tag": "VERB",
"Score": 0.999937117099762
}
},
{
"TokenId": 3,
"Text": "a",
"BeginOffset": 6,
"EndOffset": 7,
"PartOfSpeech": {
"Tag": "DET",
"Score": 0.9999926686286926
}
},
{
"TokenId": 4,
"Text": "beautiful",
"BeginOffset": 8,
"EndOffset": 17,
"PartOfSpeech": {
"Tag": "ADJ",
"Score": 0.9987891912460327
}
},
{
"TokenId": 5,
"Text": "day",
"BeginOffset": 18,
"EndOffset": 21,
"PartOfSpeech": {
"Tag": "NOUN",
"Score": 0.9999778866767883
}
},
{
"TokenId": 6,
"Text": ".",
"BeginOffset": 21,
"EndOffset": 22,
"PartOfSpeech": {
"Tag": "PUNCT",
"Score": 0.9999974966049194
}
}
]
},
{
"Index": 1,
"SyntaxTokens": [
{
"TokenId": 1,
"Text": "Can",
"BeginOffset": 0,
"EndOffset": 3,
"PartOfSpeech": {
"Tag": "AUX",
"Score": 0.9999770522117615
}
},
{
"TokenId": 2,
"Text": "you",
"BeginOffset": 4,
"EndOffset": 7,
"PartOfSpeech": {
"Tag": "PRON",
"Score": 0.9999986886978149
}
},
{
"TokenId": 3,
"Text": "please",
"BeginOffset": 8,
"EndOffset": 14,
"PartOfSpeech": {
"Tag": "INTJ",
"Score": 0.9681622385978699
}
},
{
"TokenId": 4,
"Text": "pass",
"BeginOffset": 15,
"EndOffset": 19,
"PartOfSpeech": {
"Tag": "VERB",
"Score": 0.9999874830245972
}
},
{
"TokenId": 5,
"Text": "the",
"BeginOffset": 20,
"EndOffset": 23,
"PartOfSpeech": {
"Tag": "DET",
"Score": 0.9999827146530151
}
},
{
"TokenId": 6,
"Text": "salt",
"BeginOffset": 24,
"EndOffset": 28,
"PartOfSpeech": {
"Tag": "NOUN",
"Score": 0.9995040893554688
}
},
{
"TokenId": 7,
"Text": "?",
"BeginOffset": 28,
"EndOffset": 29,
"PartOfSpeech": {
"Tag": "PUNCT",
"Score": 0.999998152256012
}
}
]
},
{
"Index": 2,
"SyntaxTokens": [
{
"TokenId": 1,
"Text": "Please",
"BeginOffset": 0,
"EndOffset": 6,
"PartOfSpeech": {
"Tag": "INTJ",
"Score": 0.9997857809066772
}
},
{
"TokenId": 2,
"Text": "pay",
"BeginOffset": 7,
"EndOffset": 10,
"PartOfSpeech": {
"Tag": "VERB",
"Score": 0.9999252557754517
}
},
{
"TokenId": 3,
"Text": "the",
"BeginOffset": 11,
"EndOffset": 14,
"PartOfSpeech": {
"Tag": "DET",
"Score": 0.9999842643737793
}
},
{
"TokenId": 4,
"Text": "bill",
"BeginOffset": 15,
"EndOffset": 19,
"PartOfSpeech": {
"Tag": "NOUN",
"Score": 0.9999588131904602
}
},
{
"TokenId": 5,
"Text": "before",
"BeginOffset": 20,
"EndOffset": 26,
"PartOfSpeech": {
"Tag": "ADP",
"Score": 0.9958304762840271
}
},
{
"TokenId": 6,
"Text": "the",
"BeginOffset": 27,
"EndOffset": 30,
"PartOfSpeech": {
"Tag": "DET",
"Score": 0.9999947547912598
}
},
{
"TokenId": 7,
"Text": "31st",
"BeginOffset": 31,
"EndOffset": 35,
"PartOfSpeech": {
"Tag": "NOUN",
"Score": 0.9924124479293823
}
},
{
"TokenId": 8,
"Text": ".",
"BeginOffset": 35,
"EndOffset": 36,
"PartOfSpeech": {
"Tag": "PUNCT",
"Score": 0.9999955892562866
}
}
]
}
],
"ErrorList": []
}
For more information, see Syntax Analysis in the Amazon Comprehend Developer Guide.
Output¶
ResultList -> (list)
A list of objects containing the results of the operation. The results are sorted in ascending order by the
Indexfield and match the order of the documents in the input list. If all of the documents contain an error, theResultListis empty.(structure)
The result of calling the operation. The operation returns one object that is successfully processed by the operation.
Index -> (integer)
The zero-based index of the document in the input list.SyntaxTokens -> (list)
The syntax tokens for the words in the document, one token for each word.
(structure)
Represents a work in the input text that was recognized and assigned a part of speech. There is one syntax token record for each word in the source text.
TokenId -> (integer)
A unique identifier for a token.Text -> (string)
The word that was recognized in the source text.BeginOffset -> (integer)
The zero-based offset from the beginning of the source text to the first character in the word.EndOffset -> (integer)
The zero-based offset from the beginning of the source text to the last character in the word.PartOfSpeech -> (structure)
Provides the part of speech label and the confidence level that Amazon Comprehend has that the part of speech was correctly identified. For more information, see Syntax in the Comprehend Developer Guide.
Tag -> (string)
Identifies the part of speech that the token represents.Score -> (float)
The confidence that Amazon Comprehend has that the part of speech was correctly identified.
ErrorList -> (list)
A list containing one object for each document that contained an error. The results are sorted in ascending order by the
Indexfield and match the order of the documents in the input list. If there are no errors in the batch, theErrorListis empty.(structure)
Describes an error that occurred while processing a document in a batch. The operation returns on
BatchItemErrorobject for each document that contained an error.Index -> (integer)
The zero-based index of the document in the input list.ErrorCode -> (string)
The numeric error code of the error.ErrorMessage -> (string)
A text description of the error.