Character Level Authorship Attribution for Turkish Text Documents

Hidayet Takçı; Ekin Ekinci

Makale detayları

Character Level Authorship Attribution for Turkish Text Documents

Yazarlar:

Hidayet Takçı | Ekin Ekinci

Yayıncı:

The association of science, education and technology

Dergi:

TOJSAT 2012 Vol.2 Issue 3, pp.12-16

Belge Tipi:

Makale

Yayın Tarihi:

7/2016

Belge Dili:

Türkçe

Document ID (Org No.):

2000836047

Sıklık:

Üç Aylık

pISSN:

2146-7390

Özet:

 

Individuals have their own style of speaking and writing. Style of a text can be used as a distinctive feature to recognize its author. In recent years, practical applications for authorship attribution have grown in areas such as criminal law, civil law and computer security. Recent research has used techniques from machine learning, information retrieval and natural language processing in authorship attribution. In this paper, Statistical Language Modeling is utilized in Authorship Attribution. Each author is represented with feature statistics. Letters, punctuations and special characters which build up the feature set are utilized to calculate the profiles of the authors.

Makale detayları

Character Level Authorship Attribution for Turkish Text Documents

Yazarlar: Hidayet Takçı | Ekin Ekinci

Yayıncı: The association of science, education and technology

Dergi: TOJSAT 2012 Vol.2 Issue 3, pp.12-16

Belge Tipi: Makale

Yayın Tarihi: 7/2016

Belge Dili: Türkçe

Document ID (Org No.): 2000836047

Sıklık: Üç Aylık

pISSN: 2146-7390

Sayı

Yazarlar:

Hidayet Takçı | Ekin Ekinci

Yayıncı:

The association of science, education and technology

Dergi:

TOJSAT 2012 Vol.2 Issue 3, pp.12-16

Belge Tipi:

Makale

Yayın Tarihi:

7/2016

Belge Dili:

Türkçe

Document ID (Org No.):

2000836047

Sıklık:

Üç Aylık

pISSN:

2146-7390