schemes:
- https
swagger: '2.0'
info:
description: NLP APIs available on InsightEra NLP Platform
title: NLP Platform API
termsOfService: http://swagger.io/terms/
contact:
name: API Support
email: dev@insightera.co.th
license:
name: Apache 2.0
url: http://www.apache.org/licenses/LICENSE-2.0.html
version: '1.0'
host: nlp.insightera.co.th
basePath: /api
paths:
/nlp/address-extractor:
post:
description: 'A service for converting a plain text address to a structural address where each part of the address are
extracted and labeled. A complete list of parts which will be extracted are as follow:
1. Name
2. Phone number
3. Tambol
4. Amphoe
5. Province
6. Postcode
7. Probability of an input text being an address (0.0 to 1.0)'
consumes:
- application/json
produces:
- application/json
tags:
- nlp
summary: Address extractor
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Address
name: address
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagAddrInput'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagAddr'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/classification/change-model-name:
post:
description: 'Change existing model name.
* modelId: An ID from training service which represent an actual model to be used.'
consumes:
- application/json
produces:
- application/json
tags:
- classification
summary: Change model name
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagClassModelNameRecord'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagClassModelNameORecord'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/classification/delete:
post:
description: Delete model
consumes:
- application/json
produces:
- application/json
tags:
- classification
summary: Delete model
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagClassModelInput'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagClassDeleteResult'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/classification/model:
post:
description: 'Retrieve model details:
* Model name
* Model status
* Created date
* Number of samples in each class'
consumes:
- application/json
produces:
- application/json
tags:
- classification
summary: Model detail
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagClassModelInput'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagClassModelOutput'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/classification/predict:
post:
description: 'Predict classes of input texts using a model previously trained. In each training request, a user will
receive a model ID. The ID is required for this service so that it knows which model to use for prediction. Model
ID and a secret token must be matched (the same token used when trained a model) in order to continue using this service.
* modelId: An ID from training service which represent an actual model to be used.'
consumes:
- application/json
produces:
- application/json
tags:
- classification
summary: Predict
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagClassPredictInput'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagClassPredictOutput'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/classification/retrain:
post:
description: continue training a model based on an existing model. Users should provide only new information the model
has never learnt before. A model_id must be provided otherwise the service will response an error.
consumes:
- application/json
produces:
- application/json
tags:
- classification
summary: Retrain
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagClassRetrainRecord'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagClassRetrainResult'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/classification/token:
get:
description: 'Retrieve all models belong to a given token:
* Model name
* Model status
* Created date
* Number of sample in each class'
produces:
- application/json
tags:
- classification
summary: Model Details by Token
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagClassTokenResult'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/classification/train:
post:
description: 'Train a classification model. The general idea begins with a user provides dataset with labels, our service
uses these information to build a classification model and give back a model ID. A user then use this model ID with
prediction service to have model classified users'' text. Every classification models can be accessed only if users
provide the same token used during training process. This means all models are protected. Only those who have access
to a secret token can use the model.
* model_name (optional) - if not provided, model_id will be used as model_name'
consumes:
- application/json
produces:
- application/json
tags:
- classification
summary: Train
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagClassTrainRecord'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagClassTrainResult'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/classification/train-with-file:
post:
description: 'Train a classification model with file. The general idea begins with a user provides dataset with labels,
our service uses these information to build a classification model and give back a model ID. A user then use this
model ID with prediction service to have model classified users'' text. Every classification models can be accessed
only if users provide the same token used during training process. This means all models are protected. Only those
who have access to a secret token can use the model.
* model_name (optional) - if not provided, model_id will be used as model_name
* file - 2 column file with classname and value in xlsx or csv format (comma delimited)'
consumes:
- application/json
produces:
- application/json
tags:
- classification
summary: Train with file
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- type: file
description: file
name: file
in: formData
required: true
- type: string
description: model_name
name: model_name
in: formData
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagClassTrainResult'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/cleaning:
post:
description: 'A service for normalizing texts, especially texts from social media and chat which tend to be informal
and purposely misspelled (or slang), into a cleaner version to ease further analysis:
* ''keep_alphabet'' If set, tokenization result which contains only one alphabet will be preserved (default: false).
* ''keep_rt'' if set, @RT from Twitter will be preserved (default: false).
* ''keep_stopwords'' if set, stopwords will be preserved (default: false).
* ''keep_url'' if set, urls will be preserved (default: false).
* ''keep_emoji'' if set, emoji will be preserved (default: true).
* ''normalize'' if set, misspelled words will be auto-corrected or transformed into a cleaner form (default: false).
* ''only_vocab'' If set, words that are not in a dictionary will be removed (default: false).'
consumes:
- application/json
produces:
- application/json
tags:
- nlp
summary: Text cleaning
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagCleaningInput'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagCleaningResult'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/clustering:
post:
description: 'A service for organizing random texts into multiple groups. The service will try grouping them into a
number of group defined by a user (k).
* engine: machine learning algorithm: k-mean (default), hierarchy
* feature_engine: feature extraction method: bag-of-word (default), word-vector
* max_k: maximum cluster (optional)
* k: number of cluster (optional). If k is not provided, the service will try to find the least k that makes
good cluster automatically.'
consumes:
- application/json
produces:
- application/json
tags:
- nlp
summary: Text clustering
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagClusteringInput'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagClusteringOutput'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/common-phrase:
post:
description: 'A clustering service specifically customized for chat log.
k: a number of cluster (group) to separate texts into.'
consumes:
- application/json
produces:
- application/json
tags:
- nlp
summary: Common phrase
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagCommonPhraseInput'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagCommonPhraseOutput'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/country:
post:
description: 'A service for finding a destination country in an address. The service will return the official name of
the country and ISO country code.
* User can provide additional aliases for each countries using extra_dict option.
* By default, the service will only return one country. If multiple is set, it will return all countries found
in an input text.'
consumes:
- application/json
produces:
- application/json
tags:
- nlp
summary: Country detection
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagCountryInput'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagCountryResult'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/datetime-parser-new:
post:
description: 'A service for converting date and time entities in a plain text, e.g. 17 มกราคม 2020, today, tomorrow,
2 hrs ago to a timestamp. A service supports both Thai and English, and supports both absolute time (24 มิถุนายน 2563)
and relative time (เมื่อวาน).
'
consumes:
- application/json
produces:
- application/json
tags:
- nlp
summary: Datetime parser
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagDucklingInput'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagDucklingNResult'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/extract-email:
post:
description: A service for detect emamil(s) in plain text.
consumes:
- application/json
produces:
- application/json
tags:
- nlp
summary: Email extractor
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Email
name: address
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagEmailInput'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagEmail'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/ner:
post:
description: A service which locate and classify named entities into pre-defined categories such as name, locaton and
time.
consumes:
- application/json
produces:
- application/json
tags:
- nlp
summary: Named Entity Recognition
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagNERInput'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagNEROutput'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/ocr:
post:
description: A servie for extracting text from an image such as a printed paper or a photograph which contains texts.
consumes:
- multipart/form-data
produces:
- application/json
tags:
- nlp
summary: OCR
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- type: file
description: ImagePath
name: image
in: formData
required: true
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagOCROutput'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/pos:
post:
description: A service which classify words in a given sentence into a paricular part-of-speech (Noun, Verb, Pronoun)
consumes:
- application/json
produces:
- application/json
tags:
- nlp
summary: POS
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagPOSInput'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagPOSOutput'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/qa:
post:
description: A service for answering questions based on a given story. A user must provide both story and questions
in single request.
consumes:
- application/json
produces:
- application/json
tags:
- nlp
summary: QA (coming soon)
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagQAInput'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagQAOutput'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/sentiment-new:
post:
description: A service for identifying and categorizing opinions expressed in a given text. The result ranges between
-1 (negative) and 1 (positive).
consumes:
- application/json
produces:
- application/json
tags:
- nlp
summary: Sentiment analysis
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagSentimentNInput'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagSentimentNOutput'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/similar:
post:
description: 'A service for finding semantically related words for a given word. Example use cases are recommendation,
clustering and word normalization.
* ''top'' is a number of expecting words in the result.'
consumes:
- application/json
produces:
- application/json
tags:
- nlp
summary: Similar words
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagSimilarNInput'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagSimilarNResult'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/spell-correction:
post:
description: A service which auto-correct and recommends correct words for misspelling words in a sentence.
consumes:
- application/json
produces:
- application/json
tags:
- nlp
summary: Spell correction
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagSpellInput'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagSpellResult'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
/nlp/tokenize:
post:
description: 'A service for breaking (tokenize) a sentence into a sequence of words. Only support Thai and English.
engine: specify tokenization algorithm to be used, available choices are:
* longest_match: Simple longest matching
* longest_inse: Add some rule-based improvement to ''longest_match''
* longest_tcc: Apply TCC after ''longest_match''
* deep: LSTM with one character context
* deep_context_10: LSTM with 10 (front) + 10 (back) characters context
* deep_context_dict: Apply dictionary cross-check to ''deep_context_10'''
consumes:
- application/json
produces:
- application/json
tags:
- nlp
summary: Thai text tokenization
parameters:
- type: string
default: 97051ade29a61c860f57dc9443128464
description: Token
name: token
in: query
required: true
- description: Input
name: input
in: body
required: true
schema:
type: object
$ref: '#/definitions/record.SwagTokenizeInput'
responses:
'200':
description: OK
schema:
$ref: '#/definitions/record.SwagTokenizeResult'
'400':
description: Bad Request
schema:
type: string
'401':
description: Unauthorized
schema:
type: string
'408':
description: Request Timeout
schema:
type: string
'500':
description: Internal Server Error
schema:
type: string
definitions:
record.SwagAddr:
type: object
properties:
message:
type: object
properties:
amphoe:
type: object
properties:
scope:
type: array
items:
type: integer
example:
- 116
- 126
text:
type: string
example: คลองสาน
is_address_score:
type: number
example: 0.99
name:
type: object
properties:
scope:
type: array
items:
type: integer
example:
- 3
- 26
text:
type: string
example: ปุญญพัฒน์ เศรษฐ์สมบูรณ์
original_text:
type: string
example: นายปุญญพัฒน์ เศรษฐ์สมบูรณ์ 081-234-5678 110/1 อาคาร KX (ใกล้ๆ BTS วงเวียนใหญ่) ชั้น 14 ถ.กรุงธนบุรี แขวงบางลำภูล่าง
เขตคลองสาน กรุงเทพมหานคร 10600 จ-ศ 10:00-19:00
other:
type: string
example: นาย 110/1 อาคาร KX (ใกล้ๆ BTS วงเวียนใหญ่) ชั้น 14 ถ.กรุงธนบุรี จ-ศ 10:00-19:00
phone:
type: array
items:
type: object
properties:
scope:
type: array
items:
type: integer
example:
- 27
- 39
text:
type: string
example: 0812345678
postcode:
type: object
properties:
scope:
type: array
items:
type: integer
example:
- 141
- 146
text:
type: string
example: '10600'
province:
type: object
properties:
scope:
type: array
items:
type: integer
example:
- 127
- 140
text:
type: string
example: กรุงเทพมหานคร
tambon:
type: object
properties:
scope:
type: array
items:
type: integer
example:
- 100
- 115
text:
type: string
example: บางลำภูล่าง
test_scope:
type: object
properties:
amphoe:
type: string
example: เขตคลองสาน
name:
type: string
example: ปุญญพัฒน์ เศรษฐ์สมบูรณ์
phone:
type: array
items:
type: string
example:
- 081-234-5678
postcode:
type: string
example: '10600'
province:
type: string
example: กรุงเทพมหานคร
tambon:
type: string
example: แขวงบางลำภูล่าง
record.SwagAddrInput:
type: object
properties:
text:
type: string
example: นายปุญญพัฒน์ เศรษฐ์สมบูรณ์ 081-234-5678 110/1 อาคาร KX (ใกล้ๆ BTS วงเวียนใหญ่) ชั้น 14 ถ.กรุงธนบุรี แขวงบางลำภูล่าง
เขตคลองสาน กรุงเทพมหานคร 10600 จ-ศ 10:00-19:00
record.SwagClassDeleteResult:
type: object
properties:
error_msg:
type: string
result:
type: string
example: ok
record.SwagClassModelInput:
type: object
properties:
model_id:
type: string
example: m-dfcf872c-ef34-11e9-ad3b-84a93e037981
record.SwagClassModelNameORecord:
type: object
properties:
message:
type: object
properties:
model_id:
type: string
example: m-6069d024-368d-11ea-978f-2e728ce88125
result:
type: string
example: ok
record.SwagClassModelNameRecord:
type: object
properties:
model_id:
type: string
example: m-6069d024-368d-11ea-978f-2e728ce88125
model_name:
type: string
example: Hello world !
record.SwagClassModelOutput:
type: object
properties:
message:
type: object
properties:
created_at:
type: object
properties:
$date:
type: integer
example: 1571134602455
modelId:
type: string
example: m-dfcf872c-ef34-11e9-ad3b-84a93e037981
modelName:
type: string
example: education_vs_politic
trains:
type: integer
example: 2000
record.SwagClassPredictInput:
type: object
properties:
model_id:
type: string
example: m-dfcf872c-ef34-11e9-ad3b-84a93e037981
samples:
type: array
items:
type: string
example:
- การศึกษาเป็นสิ่งที่จำเป็นหรือไม่...
record.SwagClassPredictOutput:
type: object
properties:
message:
type: object
properties:
model_id:
type: string
example: m-dfcf872c-ef34-11e9-ad3b-84a93e037981
output:
type: array
items:
type: object
properties:
classes:
type: array
items:
type: object
properties:
class_id:
type: integer
example: 0
class_name:
type: string
example: education
probability:
type: number
example: 0.9243098131705381
text:
type: string
example: การศึกษาเป็นสิ่งที่จำเป็นหรือไม่...
result:
type: string
example: ok
record.SwagClassRetrainRecord:
type: object
properties:
data:
type: array
items:
type: object
properties:
class_name:
type: string
example: education
samples:
type: array
items:
type: string
example:
- การศึกษาของเมืองไทยวันนี้...
- ครูมีหน้าที่อบรมสั่งสอนนักเรียน...
- เด็กไทยทุกคนมีหน้าที่ต้องไปโรงเรียน...
is_sync:
type: boolean
example: true
modelId:
type: string
example: m-123e4567-e89b-12d3-a456-426655440000
record.SwagClassRetrainResult:
type: object
properties:
result:
type: string
example: success
record.SwagClassTokenResult:
type: object
properties:
model_id_list:
type: array
items:
type: object
properties:
created_at:
type: string
example: Fri, 27 Dec 2019 04:49:20 GMT
model_id:
type: string
example: m-3ebd1518-2864-11ea-aedd-02420a000255
model_name:
type: string
example: test ja
total_class:
type: integer
example: 2
updated_at:
type: string
example: Fri, 27 Dec 2019 04:49:23 GMT
record.SwagClassTrainRecord:
type: object
properties:
data:
type: array
items:
type: object
properties:
class_name:
type: string
example: education
samples:
type: array
items:
type: string
example:
- การศึกษาของเมืองไทยวันนี้...
- ครูมีหน้าที่อบรมสั่งสอนนักเรียน...
- เด็กไทยทุกคนมีหน้าที่ต้องไปโรงเรียน...
is_sync:
type: boolean
example: true
model_name:
description: ModelID string `json:"modelId" example:"null"`
type: string
example: education_vs_politic
record.SwagClassTrainResult:
type: object
properties:
result:
type: object
properties:
model_id:
type: string
example: m-123e4567-e89b-12d3-a456-426655440000
record.SwagCleaningInput:
type: object
properties:
text:
type: string
example: โอ้โหหหหห๊ วันนี้อากาศร้อนมากกกเลยยย 555
record.SwagCleaningResult:
type: object
properties:
result:
type: object
properties:
message:
type: object
properties:
text:
description: Description string `json:"description" example:""`
type: string
example: โอ้โหหหหห๊ วันนี้อากาศร้อนมากกกเลยยย 555
tokens:
type: array
items:
type: string
example:
- โอ้โห
- อากาศ
- ร้อน
- เลย
- '555'
result:
type: string
example: ok
record.SwagClusteringInput:
type: object
properties:
engine:
type: string
example: k-mean
feature_engine:
type: string
example: bag-of-word
k:
type: integer
example: 1
max_k:
type: integer
example: 3
samples:
type: array
items:
type: string
example:
- foo
- bar
- bar
record.SwagClusteringOutput:
type: object
properties:
result:
type: object
properties:
message:
type: object
properties:
cluster:
type: array
items:
type: integer
example:
- 0
- 0
- 0
description:
type: string
example: k-mean model with bag-of-word. Maximum number of clusters is 1, result have 1 cluster.
result:
type: string
example: ok
record.SwagCommonPhraseInput:
type: object
properties:
k:
type: integer
samples:
type: array
items:
type: string
record.SwagCommonPhraseOutput:
type: object
properties:
result:
type: object
properties:
common-phrase:
type: object
properties:
samples:
type: array
items:
type: '&{%!s(token.Pos=1330) string}'
scores:
type: array
items:
type: integer
description:
type: string
record.SwagCountryInput:
type: object
properties:
extra_dict:
type: array
items:
type: object
properties:
alias_english:
type: array
items:
type: string
example:
- New York
alias_thai:
type: array
items:
type: string
example:
- นิวยอค
country_code:
type: string
example: US
multiple:
type: boolean
example: false
text:
type: string
example: ส่งไปนิวยอหน่อยครับ
record.SwagCountryResult:
type: object
properties:
message:
type: object
properties:
country:
type: object
properties:
code:
type: string
example: US
scope:
type: array
items:
type: integer
example:
- 5
- 10
text:
type: string
example: สหรัฐอเมริกา
original_text:
type: string
example: ส่งไปนิวยอหน่อยครับ
other:
type: string
example: ส่งไปหน่อยครับ
test_scope:
type: object
properties:
country:
type: string
example: นิวยอ
record.SwagDucklingInput:
type: object
properties:
text:
type: string
example: today
record.SwagDucklingNResult:
type: object
properties:
status:
type: string
example: ok
timestamp:
type: integer
example: 1577811600
record.SwagEmail:
type: object
properties:
results:
type: array
items:
type: object
properties:
emails:
type: array
items:
type: object
properties:
domain_name:
type: string
example: insightera.co.th
email:
type: string
example: contact@insightera.co.th
scope:
type: array
items:
type: integer
example:
- 22
- 46
username:
type: string
example: contact
text:
type: string
example: สอบถามเพิ่มเติมได้ที่ contact@insightera.co.th ครับ
status:
type: string
example: ok
record.SwagEmailInput:
type: object
properties:
texts:
type: array
items:
type: string
example:
- สอบถามเพิ่มเติมได้ที่ contact@insightera.co.th ครับ
record.SwagNERInput:
type: object
properties:
texts:
type: array
items:
type: string
example:
- นายแดงหิวข้าว
- ผมเจอนายแดงตอนเช้า
record.SwagNEROutput:
type: object
properties:
message:
type: object
properties:
description:
type: string
ner:
type: array
items:
type: '&{%!s(token.Pos=1066) %!s(*ast.StructType=&{1068 0xc00044fdd0 false})}'
status:
type: string
record.SwagOCROutput:
type: object
properties:
result:
type: object
properties:
filename:
type: string
example: image_with_text.jpg
text:
type: string
example: 'ทดสอบด้วยภาษาไทย
การแกะตัวหนังสือจากภาพ
ขอบคุณครับ'
status:
type: string
example: ok
record.SwagPOSInput:
type: object
properties:
texts:
type: array
items:
type: string
example:
- นายแดงกินข้าวแกง
- มดแดงกินมะม่วง
record.SwagPOSOutput:
type: object
properties:
message:
type: object
properties:
description:
type: string
pos:
type: array
items:
type: '&{%!s(token.Pos=789) %!s(*ast.StructType=&{791 0xc00044f9e0 false})}'
status:
type: string
record.SwagQAInput:
type: object
properties:
context:
type: string
example: จังหวัดแค็วม์โปแลนด์ wojewdztwochemskie เป็นหน่วยการปกครองท้องถิ่นของประเทศโปแลนด์ในช่วงปี ค.ศ.1975 - ค.ศ.1998
จังหวัดได้รับการรวมเข้ากับจังหวัดลูบลินมีเมืองหลักคือแค็วม์ใน ปี ค.ศ.1998 มีพื้นที่ประมาณ 3865 ตารางกิโลเมตรและมีประชากร
248800 คน
questions:
type: array
items:
type: string
example:
- จังหวัดแค็วม์ก่อตั้งขึ้นในปีอะไร
- แค็วม์มีพื้นที่เท่าไร
- แค็วม์มีจำนวนประชากรกี่คน
record.SwagQAOutput:
type: object
properties:
result:
type: object
properties:
description:
type: string
question-answer:
type: array
items:
type: string
example:
- ' '
- ประมาณ 3865 ตารางกิโลเมตร
- 248800 คน
record.SwagSentimentNInput:
type: object
properties:
engine:
type: string
example: deepsent
texts:
type: array
items:
type: string
example:
- อากาศดีๆจะมีในยามเช้า เหงาาาาสักเท่าไหร่
- ไม่ต้องโทรม้าาา เพราะชั่นจะไหมรับสาย
- สนใจนะครับ
- ชอบๆ สนุกดีดีดีดี
- อาหารไม่อร่อยเลยนะ
- หงุดหงิดจังเลยโว้ยยยย
record.SwagSentimentNOutput:
type: object
properties:
message:
type: object
properties:
description:
type: string
sentiments:
type: array
items:
type: object
properties:
score:
type: number
example: 0.07
text:
type: string
example: อากาศดีๆจะมีในยามเช้า เหงาาาาสักเท่าไหร่
status:
type: string
example: ok
record.SwagSimilarNInput:
type: object
properties:
engine:
type: string
example: skipgram-5
top:
type: integer
example: 5
word:
type: string
example: สวย
record.SwagSimilarNResult:
type: object
properties:
message:
type: object
properties:
desc:
type: string
example: Used 'skipgram-5' engine. Choose the top 5 similar words.
word:
type: string
example: สวย
word-similarity:
type: array
items:
type: object
properties:
score:
type: number
example: 0.59
word:
type: string
example: น่ารัก
status:
type: string
record.SwagSpellInput:
type: object
properties:
text:
type: string
example: การสนทนนี้น่าสนใใจ มากๆๆๆ +++
record.SwagSpellResult:
type: object
properties:
result:
type: object
properties:
spell:
description: Description string `json:"description"`
type: array
items:
type: object
properties:
index:
type: array
items:
type: integer
example:
- 3
- 7
spell:
type: boolean
example: false
suggestion:
type: array
items:
type: object
properties:
สนทนา:
type: number
example: 0.11273138225078583
สนาน:
type: number
example: 0.11190706491470337
token:
type: string
example: สนทน
text:
type: string
example: การสนทนนี้น่าสนใใจ มากๆๆๆ +++
record.SwagTokenizeInput:
type: object
properties:
engine:
type: string
example: deep_context_10
text:
type: string
example: เรามาตัดคำไทยกันเถอะ
record.SwagTokenizeResult:
type: object
properties:
result:
type: object
properties:
description:
type: string
example: Using 'deep_context_10' engine
text:
type: string
example: เรามาตัดคำไทยกันเถอะ
tokens:
type: array
items:
type: string
example:
- เรา
- มา
- ตัด
- คำ
- ไทย
- กัน
- เถอะ