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Detect

HTTP 200 : Detect Errors Model GET/text/correction
The auto-corrected texts from two models.
						{
  "model1": "mobile phone",
  "model2": "mobile phone"
}						
Detect Errors

Detect spelling errors in the text.


Test console
Description
Parameter
string

The text that should be auto-corrected.
Example: mobille phonne

text

Required

string

The language of the given text.
Example: en

language

Required

HTTP 200 : Detected Language GET/text/language
The detected language.
						[[
  {
    "confidence": 0.35,
    "language": "en"
  },
  {
    "confidence": 0.24,
    "language": "es"
  },
  {
    "confidence": 0.11,
    "language": "pl"
  },
  {
    "confidence": 0.08,
    "language": "fr"
  },
  {
    "confidence": 0.07,
    "language": "it"
  },
  {
    "confidence": 0.06,
    "language": "sv"
  },
  {
    "confidence": 0.05,
    "language": "nl"
  },
  {
    "confidence": 0.03,
    "language": "et"
  }
]]						
Detect Language

Detect the language of a natural language text.


Test console
Description
Parameter
string

The text for which the language should be determined.
Example: This is a sample English sentence.

text

Required

HTTP 200 : Detected Part-of-Speech GET/text/posTags
The detected part of speech tags.
						{
  "taggedText": "The/AT quick/RB brown/JJ fox/NN jumps/NNS over/UNDER the/AT lazy/JJ dog/NN ./. "
}						
Detect Part-of-Speech

Tag a given text with part-of-speech tags (POS tags).


Test console
Description
Parameter
string

The text for which the POS tags should be found.
Example: The quick brown fox jumps over the lazy dog.

text

Required

HTTP 200 : Detected Sentiment GET/text/sentiment
The detected sentiment.
						{
  "document": {
    "sentiment": "positive",
    "averageConfidence": 0.6225,
    "confidence": 0.62,
    "sentimentWithNeutral": "neutral"
  },
  "sentences": [
    {
      "sentiment": "positive",
      "length": 27,
      "confidence": 0.62,
      "offset": 0
    }
  ]
}						
Detect Sentiment

Detect the sentiment (positive or negative) of a given text. The detection works for English and German texts.


Test console
Description
Parameter
string

The text for which the sentiment should be detected.
Example: I love music by John Hiatt.

text

Required

string

The language of the given text (en=English, de=German).
Example: en

language

Required

string

Optionally consider only sentences that contain a context word for the sentiment detection.
Example: John Hiatt

contextWords

Optional

HTTP 200 : Detected Sentiment POST/text/sentiment
The detected sentiment.
						{
  "document": {
    "sentiment": "positive",
    "averageConfidence": 0.6225,
    "confidence": 0.62,
    "sentimentWithNeutral": "neutral"
  },
  "sentences": [
    {
      "sentiment": "positive",
      "length": 27,
      "confidence": 0.62,
      "offset": 0
    }
  ]
}						
Detect Sentiment - POST

Detect the sentiment of a text.


Test console
Description
Parameter
string

The text for which the sentiment should be detected.
Example: I love music by John Hiatt.

text

Required

string

The language of the given text (en=English, de=German).
Example: en

language

Required

string

Optionally consider only sentences that contain a context word for the sentiment detection.
Example: John Hiatt

contextWords

Optional

Extract

HTTP 200 : Extracted Date GET/text/dates
The extracted date.
						[[
  {
    "originalDate": "May 29th, 1989",
    "normalizedDate": "1989-05-29"
  }
]]						
Extract Dates

Extract dates from a given text.


Test console
Description
Parameter
string

The text from which dates should be extracted.
Example: She was born on May 29th, 1989.

text

Required

HTTP 200 : Extracted Entity GET/text/entities
An extracted entity.
						[[
  {
    "entity": "John Hiatt",
    "length": 10,
    "type": "PERSON",
    "normalizedEntity": "John Hiatt",
    "offset": 47
  },
  {
    "entity": "Jim Carry",
    "length": 9,
    "type": "PERSON",
    "normalizedEntity": "Jim Carry",
    "offset": 72
  }
]]						
Extract Entities

Extract entities such as movies or people in a given text.


Test console
Description
Parameter
string

The text in which entities should be detected.
Example: This text contains entities such as the singer John Hiatt and the actor Jim Carry.

text

Required

HTTP 200 : Extracted Location GET/text/locations
An extracted location.
						[[
  {
    "name": "France",
    "countryCode": "",
    "longitude": "2.0",
    "latitude": "46.0"
  },
  {
    "name": "Paris",
    "countryCode": "fr",
    "longitude": "2.333333",
    "latitude": "48.866667"
  }
]]						
Extract Locations

Extract names of locations in the given text.


Test console
Description
Parameter
string

The text from which locations should be extracted.
Example: The capital of France is Paris.

text

Required

HTTP 200 : Split Sentences POST/text/sentences
A list of sentences.
						[[
  "This is a text, Mr. One is 1.8 m tall.",
  "And another sentence."
]]						
Split Sentences

Split a given text into sentences.


Test console
Description
Parameter
string

The text to split into sentences.
Example: This is a text, Mr. One is 1.8 m tall. And another sentence.

text

Required

string

The language of the text. Currently English (en) and German (de) are supported.
Example: en

language

Required

HTTP 200 : Split Sentences GET/text/sentences
A list of sentences.
						[[
  "This is a text, Mr. One is 1.8 m tall.",
  "And another sentence."
]]						
Split Sentences.

Split a given text into sentences.


Test console
Description
Parameter
string

The text to split into sentences.
Example: This is a text, Mr. One is 1.8 m tall. And another sentence.

text

Required

string

The language of the text. Currently English (en) and German (de) are supported.
Example: en

language

Optional

Rank

HTTP 200 : Article Quality POST/text/quality
The quality of an article.
						{
  "detectedTitle": "Super cool article.",
  "numberOfWords": 12,
  "numberOfSentences": 1,
  "totalScore": 5.7234432234432235,
  "readability": {
    "subscores": {
      "kincaid": 3.84,
      "fog": 8.133333333333333,
      "flesch": 88.905,
      "colemanLiau": 6.723266666666669,
      "smog": 8.841846274778883,
      "lix": 28.666666666666668,
      "forcast": 18.75,
      "ari": 4.587500000000002
    },
    "mainscores": {
      "total": 8.333333333333334,
      "totalPossible": 10
    }
  },
  "skimmability": {
    "subscores": {
      "bulletPointRatioScore": [
        0,
        2
      ],
      "paragraphScore": [
        3,
        3
      ],
      "highlightedWordRatioScore": [
        2,
        2
      ],
      "videoScore": [
        0,
        1
      ],
      "imageScore": [
        0,
        3
      ],
      "paragraphHeadlineRatioScore": [
        0,
        2
      ]
    },
    "mainscores": {
      "total": 3.8461538461538463,
      "totalPossible": 10
    }
  },
  "interestingness": {
    "subscores": {
      "googleHitsScore": [
        0,
        4
      ],
      "linkScore": [
        0,
        2
      ],
      "quoteScore": [
        0,
        1
      ],
      "lengthScore": [
        0,
        2
      ],
      "titleRatingScore": [
        1,
        4
      ]
    },
    "mainscores": {
      "total": 0.7142857142857142,
      "totalPossible": 10
    }
  },
  "style": {
    "subscores": {
      "spellingScore": [
        5,
        5
      ],
      "styleScore": [
        5,
        5
      ],
      "abbreviationScore": [
        3,
        3
      ]
    },
    "mainscores": {
      "total": 10,
      "totalPossible": 10
    }
  }
}						
Rate the Quality

Determine the quality of an article.


Test console
Description
Parameter
string

The title of the article.
Example: Super cool article.

title

Required

string

The text of the article (including HTML tags).
Example: Many things are <b>cool</b>, but this article is just the coolest ever.

text

Required

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