Doc 67d940f6c6884003bb072c52de702d0d-1b629ab5637843fdac031b3264f47e1e

Extracted names

Names:	7
Male:	4
Female:	3
Unknown:	0
Points :	74.10

Polar Name Explorer .NET Core Component is a class library that allows your .NET applications to extract and parse names and surnames from text, get the gender of the name, and country of origin.

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The website is created using this component as a demonstration of its functionality.
Component is a class library that allows your .NET applications to extract and parse names and surnames from text, get the gender of the name, and country of origin.
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Parse tree of personal name Beate Eriksen in JSON view

This is a display of the first parsed personal name from the list of parsed names, in JSON tree format. Personal name is: Beate Eriksen

{RecordId: "530b3814cb2843f9be5afefba41ef1fa",
Begin: 446,
End: 458,
TitleField: {Begin: 0,
End: 0,
Text: null,
Points: 0,
NamePhrases: null
},
FirstNameField: {Begin: 446,
End: 450,
Text: "Beate",
Points: 0,
NamePhrases: [{Begin: 446,
End: 450,
Text: "Beate",
NameTokens: [{Text: "Beate",
Begin: 446,
End: 450,
Type: "name",
FirstNameFactor: 0.26,
LastNameFactor: 0,
CountryElements: [{Country: "DE",
Frequency: 16212,
FrequencyNormalized: 74.58853040527543,
Popularity: 0.12488682805251503,
Significance: 72.68977355957031
},
{Country: "NO",
Frequency: 3125,
FrequencyNormalized: 74.98602310846069,
Popularity: 0.14011216146659994,
Significance: 14.011568069458008
},
{Country: "LV",
Frequency: 1743,
FrequencyNormalized: 70.63137574048488,
Popularity: 0.2223582992077768,
Significance: 7.815092086791992
}
],
LanguageElements: [{Text: "beate",
Language: "cs",
Count: 45,
CountNormalized: 7.47
},
{Text: "beate",
Language: "da",
Count: 120,
CountNormalized: 15.19
},
{Text: "beate",
Language: "de",
Count: 188,
CountNormalized: 17.89
},
{Text: "beate",
Language: "en",
Count: 246,
CountNormalized: 17.7
},
{Text: "beate",
Language: "es",
Count: 103,
CountNormalized: 12.52
},
{Text: "beate",
Language: "et",
Count: 31,
CountNormalized: 5.8
},
{Text: "beate",
Language: "fi",
Count: 177,
CountNormalized: 17.96
},
{Text: "beate",
Language: "fr",
Count: 19,
CountNormalized: 2.5
},
{Text: "beate",
Language: "hr",
Count: 57,
CountNormalized: 8.99
},
{Text: "beate",
Language: "hu",
Count: 50,
CountNormalized: 8.29
},
{Text: "beate",
Language: "it",
Count: 44,
CountNormalized: 7.49
},
{Text: "beate",
Language: "nl",
Count: 55,
CountNormalized: 8.64
},
{Text: "beate",
Language: "no",
Count: 146,
CountNormalized: 17.44
},
{Text: "beate",
Language: "pl",
Count: 26,
CountNormalized: 4.17
},
{Text: "beate",
Language: "pt",
Count: 22,
CountNormalized: 3.28
},
{Text: "beate",
Language: "pt_br",
Count: 75,
CountNormalized: 10.37
},
{Text: "beate",
Language: "ro",
Count: 103,
CountNormalized: 12.88
},
{Text: "beate",
Language: "sr",
Count: 90,
CountNormalized: 11.76
},
{Text: "beate",
Language: "sv",
Count: 99,
CountNormalized: 13.42
},
{Text: "beate",
Language: "tr",
Count: 71,
CountNormalized: 10.74
}
],
GenderData: {Gender: "f",
FemalePercent: 93.6222222222222,
MalePercent: 0.08888888888888889,
Frequency: 22303,
GenderDataItemByCountry: [{Gender: "f",
FemalePercent: 100,
MalePercent: 0,
Frequency: 16212,
Country: "DE"
},
{Gender: "f",
FemalePercent: 100,
MalePercent: 0,
Frequency: 3125,
Country: "NO"
},
{Gender: "f",
FemalePercent: 100,
MalePercent: 0,
Frequency: 1743,
Country: "LV"
}
]
},
Points: 1,
ValidatedPart: {IsInNameList: true,
IsInExcludeList: false,
MLCalculated: true,
NerEntityTypes: "Person",
PosTagType: "PROPN"
},
BadWordsInfos: []
}
],
CountryElements: [{Country: "DE",
Frequency: 16212,
FrequencyNormalized: 74.58853040527543,
Popularity: 0.12488682805251503,
Significance: 72.68977355957031
},
{Country: "NO",
Frequency: 3125,
FrequencyNormalized: 74.98602310846069,
Popularity: 0.14011216146659994,
Significance: 14.011568069458008
},
{Country: "LV",
Frequency: 1743,
FrequencyNormalized: 70.63137574048488,
Popularity: 0.2223582992077768,
Significance: 7.815092086791992
}
],
LanguageElements: null,
GenderData: {Gender: "f",
FemalePercent: 93.6222222222222,
MalePercent: 0.08888888888888889,
Frequency: 22303,
GenderDataItemByCountry: [{Gender: "f",
FemalePercent: 100,
MalePercent: 0,
Frequency: 16212,
Country: "DE"
},
{Gender: "f",
FemalePercent: 100,
MalePercent: 0,
Frequency: 3125,
Country: "NO"
},
{Gender: "f",
FemalePercent: 100,
MalePercent: 0,
Frequency: 1743,
Country: "LV"
}
]
},
Points: 1
}
]
},
LastNameField: {Begin: 452,
End: 458,
Text: "Eriksen",
Points: 0,
NamePhrases: [{Begin: 452,
End: 458,
Text: "Eriksen",
NameTokens: [{Text: "Eriksen",
Begin: 452,
End: 458,
Type: "name",
FirstNameFactor: 0,
LastNameFactor: 0.16,
CountryElements: [{Country: "US",
Frequency: 3000,
FrequencyNormalized: 54.43513022904812,
Popularity: 0.0011234699967675522,
Significance: 71.29277801513672
},
{Country: "NO",
Frequency: 1004,
FrequencyNormalized: 87.6567631655698,
Popularity: 0.2584238717764582,
Significance: 23.859315872192383
},
{Country: "ES",
Frequency: 65,
FrequencyNormalized: 29.513658969554378,
Popularity: 0.00014347773292909107,
Significance: 1.5446767807006836
}
],
LanguageElements: [{Text: "eriksen",
Language: "bs",
Count: 68,
CountNormalized: 10.91
},
{Text: "eriksen",
Language: "cs",
Count: 62,
CountNormalized: 9.56
},
{Text: "eriksen",
Language: "da",
Count: 138,
CountNormalized: 16.27
},
{Text: "eriksen",
Language: "de",
Count: 117,
CountNormalized: 14.35
},
{Text: "eriksen",
Language: "en",
Count: 235,
CountNormalized: 17.39
},
{Text: "eriksen",
Language: "es",
Count: 238,
CountNormalized: 18.37
},
{Text: "eriksen",
Language: "et",
Count: 16,
CountNormalized: 1.85
},
{Text: "eriksen",
Language: "fi",
Count: 133,
CountNormalized: 15.76
},
{Text: "eriksen",
Language: "fr",
Count: 143,
CountNormalized: 15.39
},
{Text: "eriksen",
Language: "hr",
Count: 104,
CountNormalized: 13.1
},
{Text: "eriksen",
Language: "hu",
Count: 152,
CountNormalized: 16.14
},
{Text: "eriksen",
Language: "id",
Count: 11,
CountNormalized: 0
},
{Text: "eriksen",
Language: "it",
Count: 189,
CountNormalized: 17.84
},
{Text: "eriksen",
Language: "ms",
Count: 18,
CountNormalized: 2.93
},
{Text: "eriksen",
Language: "nl",
Count: 157,
CountNormalized: 15.86
},
{Text: "eriksen",
Language: "no",
Count: 59,
CountNormalized: 10.35
},
{Text: "eriksen",
Language: "pl",
Count: 105,
CountNormalized: 13.16
},
{Text: "eriksen",
Language: "pt",
Count: 147,
CountNormalized: 15.69
},
{Text: "eriksen",
Language: "pt_br",
Count: 205,
CountNormalized: 17.25
},
{Text: "eriksen",
Language: "ro",
Count: 161,
CountNormalized: 16.06
},
{Text: "eriksen",
Language: "sk",
Count: 32,
CountNormalized: 6.15
},
{Text: "eriksen",
Language: "sl",
Count: 116,
CountNormalized: 14.66
},
{Text: "eriksen",
Language: "sr",
Count: 102,
CountNormalized: 12.61
},
{Text: "eriksen",
Language: "sv",
Count: 85,
CountNormalized: 12.3
},
{Text: "eriksen",
Language: "tr",
Count: 185,
CountNormalized: 17.73
},
{Text: "eriksen",
Language: "vi",
Count: 13,
CountNormalized: 0.87
}
],
GenderData: null,
Points: 1,
ValidatedPart: {IsInNameList: true,
IsInExcludeList: false,
MLCalculated: true,
NerEntityTypes: "Person",
PosTagType: "PROPN"
},
BadWordsInfos: []
}
],
CountryElements: [{Country: "US",
Frequency: 3000,
FrequencyNormalized: 54.43513022904812,
Popularity: 0.0011234699967675522,
Significance: 71.29277801513672
},
{Country: "NO",
Frequency: 1004,
FrequencyNormalized: 87.6567631655698,
Popularity: 0.2584238717764582,
Significance: 23.859315872192383
},
{Country: "ES",
Frequency: 65,
FrequencyNormalized: 29.513658969554378,
Popularity: 0.00014347773292909107,
Significance: 1.5446767807006836
}
],
LanguageElements: null,
GenderData: null,
Points: 1
}
]
},
QualifierField: {Begin: 0,
End: 0,
Text: null,
Points: 0,
NamePhrases: null
},
PointScoreNameData: {TotalNamePoints: 92.29,
FullNamePointScore: 0,
FirstNamePoints: 81.33848820903684,
LastNamePoints: 72.3980407786441
},
PointScoreMLModel1Debug: {FN1Country1Frequency: 74.98602,
FN1Country1Significance: 14.011568,
LN1Country1Frequency: 87.65676,
LN1Country1Significance: 23.859316,
FN1LanguageDicFrequency: 17.96,
LN1LanguageDicFrequency: 18.37,
IsFN1Country1LangSameFN1LangDic: false,
IsLN1Country1LangSameLN1LangDic: false,
IsFN1LN1WordLanguageDicSame: false,
IsFN1LN1Country1Same: true,
IsFN1LN1Country1LangSame: false,
IsValidFullName: false
},
GenderData: {Gender: "f",
FemalePercent: 93.6222222222222,
MalePercent: 0.08888888888888889,
Frequency: 22303,
GenderDataItemByCountry: [{Gender: "f",
FemalePercent: 100,
MalePercent: 0,
Frequency: 16212,
Country: "DE"
},
{Gender: "f",
FemalePercent: 100,
MalePercent: 0,
Frequency: 3125,
Country: "NO"
},
{Gender: "f",
FemalePercent: 100,
MalePercent: 0,
Frequency: 1743,
Country: "LV"
}
]
},
CountryData: {FirstNameCountryPhrases: [{Text: "Beate",
CountryElements: [{Country: "DE",
Frequency: 16212,
FrequencyNormalized: 74.58853040527543,
Popularity: 0.12488682805251503,
Significance: 72.68977355957031
},
{Country: "NO",
Frequency: 3125,
FrequencyNormalized: 74.98602310846069,
Popularity: 0.14011216146659994,
Significance: 14.011568069458008
},
{Country: "LV",
Frequency: 1743,
FrequencyNormalized: 70.63137574048488,
Popularity: 0.2223582992077768,
Significance: 7.815092086791992
}
]
}
],
LastNameCountryPhrases: [{Text: "Eriksen",
CountryElements: [{Country: "US",
Frequency: 3000,
FrequencyNormalized: 54.43513022904812,
Popularity: 0.0011234699967675522,
Significance: 71.29277801513672
},
{Country: "NO",
Frequency: 1004,
FrequencyNormalized: 87.6567631655698,
Popularity: 0.2584238717764582,
Significance: 23.859315872192383
},
{Country: "ES",
Frequency: 65,
FrequencyNormalized: 29.513658969554378,
Popularity: 0.00014347773292909107,
Significance: 1.5446767807006836
}
]
}
]
},
AlternateNames: [],
ParsedName: "Beate Eriksen",
FullName: "Beate Eriksen",
Title: null,
FirstName: "Beate",
LastName: "Eriksen",
Qualifier: null,
OriginalName: "Beate Eriksen"
}

CSV data view

Names:7 Male:4 Female:3 Unknown:0 Points:74.10

CSV

FAQ

What is Name Explorer?

Name Explorer is a platform to work with names. Use this Name Explorer to automatically extract names of people from text data.
It provides functionality to do name extracting and parsing, name genderizing, name matching, name formatting, and more.

Is Name Extractor free?

Yes. We made it as simple as possible.

How can I use it

Just put text in any format in the textbox or up to 5 URL, and press the button "Extract Names", "Extract Names from URL". After that, you will get extracted names in form of first last name, gender, and other data point.