Revisiting Probabilistic Relation Analysis: Using Probabilistic Relation Graphs for Relational Similarity Analysis of Words in Short Texts

Dima ALNAHAS, (Ar-Ge Departmanı, Infina Yazılım A.Ş., İstanbul, Türkiye)
Abdullah ATEŞ, (İnönü Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Malatya, Türkiye)
Ahmet Arif AYDIN, (İnönü Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Malatya, Türkiye)
Barış Baykant ALAGÖZ (İnönü Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Malatya, Türkiye)
Turkish Journal of Mathematics and Computer Science
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Yıl: 2023 Cilt: 15 Sayı: 2 Sayfa Aralığı: 334 - 354 Metin Dili: İngilizce DOI: 10.47000/tjmcs.1240729 İndeks Tarihi: 08-01-2024

Revisiting Probabilistic Relation Analysis: Using Probabilistic Relation Graphs for Relational Similarity Analysis of Words in Short Texts

Öz:
Relation graphs provide useful tools for structural and relational analyses of highly complex multi-component systems. Probabilistic relation graph models can represent relations between system components by their probabilistic links. These graph types have been widely used for the graphical representation of Markov models and bigram probabilities. This study presents an implication of relational similarities within probabilistic graph models of textual entries. The article discusses several utilization examples of two fundamental similarity measures in the probabilistic analysis of short texts. To this end, the construction of probabilistic graph models by using bigram probability matrices of textual entries is illustrated, and vector spaces of input word-vectors and output word-vectors are formed. In this vector space, the utilization of cosine similarity and mean squared error measures are demonstrated to evaluate the probabilistic relational similarity between lexeme pairs in short texts. By using probabilistic relation graphs of the short texts, relational interchangeability analyses of lexeme pairs are conducted, and confidence index parameters are defined to express the reliability of these analyses. Potential applications of these graphs in language processing and linguistics are discussed on the basis of the analysis results of example texts. The performance of the applied similarity measures is evaluated in comparison to the similarity index of the word2vec language model. Results of the comparative study in one of the illustrative examples reveal that synonyms with 0.18157 word2vec similarity value scored 1.0 cosine similarity value according to the proposed method.
Anahtar Kelime: Bigram probability relations probabilistic graph similarity text similarity relational interchangeability

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA Alnahas D, ATEŞ A, Aydin A, Alagoz B (2023). Revisiting Probabilistic Relation Analysis: Using Probabilistic Relation Graphs for Relational Similarity Analysis of Words in Short Texts. , 334 - 354. 10.47000/tjmcs.1240729
Chicago Alnahas Dima,ATEŞ Abdullah,Aydin Ahmet Arif,Alagoz Baris Baykant Revisiting Probabilistic Relation Analysis: Using Probabilistic Relation Graphs for Relational Similarity Analysis of Words in Short Texts. (2023): 334 - 354. 10.47000/tjmcs.1240729
MLA Alnahas Dima,ATEŞ Abdullah,Aydin Ahmet Arif,Alagoz Baris Baykant Revisiting Probabilistic Relation Analysis: Using Probabilistic Relation Graphs for Relational Similarity Analysis of Words in Short Texts. , 2023, ss.334 - 354. 10.47000/tjmcs.1240729
AMA Alnahas D,ATEŞ A,Aydin A,Alagoz B Revisiting Probabilistic Relation Analysis: Using Probabilistic Relation Graphs for Relational Similarity Analysis of Words in Short Texts. . 2023; 334 - 354. 10.47000/tjmcs.1240729
Vancouver Alnahas D,ATEŞ A,Aydin A,Alagoz B Revisiting Probabilistic Relation Analysis: Using Probabilistic Relation Graphs for Relational Similarity Analysis of Words in Short Texts. . 2023; 334 - 354. 10.47000/tjmcs.1240729
IEEE Alnahas D,ATEŞ A,Aydin A,Alagoz B "Revisiting Probabilistic Relation Analysis: Using Probabilistic Relation Graphs for Relational Similarity Analysis of Words in Short Texts." , ss.334 - 354, 2023. 10.47000/tjmcs.1240729
ISNAD Alnahas, Dima vd. "Revisiting Probabilistic Relation Analysis: Using Probabilistic Relation Graphs for Relational Similarity Analysis of Words in Short Texts". (2023), 334-354. https://doi.org/10.47000/tjmcs.1240729
APA Alnahas D, ATEŞ A, Aydin A, Alagoz B (2023). Revisiting Probabilistic Relation Analysis: Using Probabilistic Relation Graphs for Relational Similarity Analysis of Words in Short Texts. Turkish Journal of Mathematics and Computer Science, 15(2), 334 - 354. 10.47000/tjmcs.1240729
Chicago Alnahas Dima,ATEŞ Abdullah,Aydin Ahmet Arif,Alagoz Baris Baykant Revisiting Probabilistic Relation Analysis: Using Probabilistic Relation Graphs for Relational Similarity Analysis of Words in Short Texts. Turkish Journal of Mathematics and Computer Science 15, no.2 (2023): 334 - 354. 10.47000/tjmcs.1240729
MLA Alnahas Dima,ATEŞ Abdullah,Aydin Ahmet Arif,Alagoz Baris Baykant Revisiting Probabilistic Relation Analysis: Using Probabilistic Relation Graphs for Relational Similarity Analysis of Words in Short Texts. Turkish Journal of Mathematics and Computer Science, vol.15, no.2, 2023, ss.334 - 354. 10.47000/tjmcs.1240729
AMA Alnahas D,ATEŞ A,Aydin A,Alagoz B Revisiting Probabilistic Relation Analysis: Using Probabilistic Relation Graphs for Relational Similarity Analysis of Words in Short Texts. Turkish Journal of Mathematics and Computer Science. 2023; 15(2): 334 - 354. 10.47000/tjmcs.1240729
Vancouver Alnahas D,ATEŞ A,Aydin A,Alagoz B Revisiting Probabilistic Relation Analysis: Using Probabilistic Relation Graphs for Relational Similarity Analysis of Words in Short Texts. Turkish Journal of Mathematics and Computer Science. 2023; 15(2): 334 - 354. 10.47000/tjmcs.1240729
IEEE Alnahas D,ATEŞ A,Aydin A,Alagoz B "Revisiting Probabilistic Relation Analysis: Using Probabilistic Relation Graphs for Relational Similarity Analysis of Words in Short Texts." Turkish Journal of Mathematics and Computer Science, 15, ss.334 - 354, 2023. 10.47000/tjmcs.1240729
ISNAD Alnahas, Dima vd. "Revisiting Probabilistic Relation Analysis: Using Probabilistic Relation Graphs for Relational Similarity Analysis of Words in Short Texts". Turkish Journal of Mathematics and Computer Science 15/2 (2023), 334-354. https://doi.org/10.47000/tjmcs.1240729
Sayfa Oluşturulma Tarihi
24-04-2024 10:26

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