You may try this link: https://github.com/malteos/awesome-document-similarity

I hope it is helpful for you :D

References to the works of Prof. E. V. Lutsenko on ask analysis of texts

Ask text analysis allows you to:

- form generalized linguistic images of classes (semantic cores) based on fragments or examples of related texts in any language;'

- quantitatively compare the linguistic image of a particular person or description of an object or process with generalized linguistic images of groups (classes);

- compare generalized linguistic images of classes with each other and create their clusters and constructs;

- to investigate the modeled subject area by studying its linguistic system-cognitive model;

- conduct intellectual attribution of texts, i.e. determine the likely authorship of anonymous and pseudonymous texts, Dating, genre and semantic orientation of the content of texts;

- all this can be done for any natural or artificial language or coding system.

Lutsenko E. V. synthesis of semantic cores of scientific specialties of the higher attestation Commission of the Russian Federation and automatic classification of articles by scientific specialties using ask-analysis and the intellectual system "Eidos" (on the example Of the scientific journal of Kubgau and its scientific specialties: mechanization, agronomy and veterinary medicine) / E. V. Lutsenko, N. V. Andrafanova, N. V. Potapova // Polythematic network electronic scientific journal of Kuban state agrarian University (scientific journal of Kubgau) [Electronic resource]. – Krasnodar: Kubgau, 2019. – №01(145). p. 31 – 102. – IDA [article id]: 1451901033. – Mode of access: http://ej.kubagro.ru/2019/01/pdf/33.pdf is 4.5 in.p.l.

Lutsenko E. V. formation of the semantic core of veterinary medicine by Automated system-cognitive analysis of passports of scientific specialties of the higher attestation Commission of the Russian Federation and automatic classification of texts in the areas of science / E. V. Lutsenko // Polythematic network electronic scientific journal of Kuban state agrarian University (scientific journal of Kubgau) [Electronic resource]. – Krasnodar: Kubgau, 2018. – №10(144). p. 44 – 102. – IDA [article id]: 1441810033. – access mode: http://ej.kubagro.ru/2018/10/pdf/33.pdf, 3,688 u.p.l.

Lutsenko E. V. intellectual linking of incorrect references to literary sources in bibliographic databases using ask analysis and the "Eidos" system (on the example of the Russian science citation index-RSCI) / E. V. Lutsenko, V. A. Glukhov // Polythematic network electronic scientific journal of Kuban state agrarian University (scientific journal of Kubgau) [Electronic resource]. – Krasnodar: Kubgau, 2017. – №01(125). P. 1 – 65. – IDA [article id]: 1251701001. – access mode: http://ej.kubagro.ru/2017/01/pdf/01.pdf, 4,062 u.p.l.

Lutsenko E. V. application of ask-analysis and intellectual system "Eidos" for solving the problem of identification of literary sources and authors by standard, non-standard and incorrect bibliographic descriptions in General form / E. V. Lutsenko // Polythematic network electronic scientific journal of the Kuban state agrarian University (scientific journal of Kubgau) [Electronic resource]. – Krasnodar: Kubgau, 2014. – №09(103). P. 498 – 544. – IDA [article id]: 1031409032. – access mode: http://ej.kubagro.ru/2014/09/pdf/32.pdf, 2938 u.p.l.

Lutsenko E. V. ask-analysis of the problems of articles of the scientific journal Kubgau in dynamics / E. V. Lutsenko, V. I. Loiko // Polythematic network electronic scientific journal of Kuban state agrarian University (scientific journal of Kubgau) [Electronic resource]. – Krasnodar: Kubgau, 2014. – №06(100). P. 109 – 145. – IDA [article id]: 1001406007. – access mode: http://ej.kubagro.ru/2014/06/pdf/07.pdf, 2,312 u.p.l.

Lutsenko E. V. Attribution of anonymous and pseudonymous texts in system-cognitive analysis / E. V. Lutsenko // Polythematic network electronic scientific journal of the Kuban state agrarian University (scientific journal of Kubgau) [Electronic resource]. – Krasnodar: Kubgau, 2004. – №03(005). p. 44 – 64. – IDA [article id]: 0050403003. – access mode: http://ej.kubagro.ru/2004/03/pdf/03.pdf, 1,312 u.p.l.

Lutsenko E. V. attribution of texts as a generalized problem of identification and forecasting / E. V. Lutsenko // Polythematic network electronic scientific journal of Kuban state agrarian University (scientific journal of Kubgau) [Electronic resource]. – Krasnodar: Kubgau, 2003. – №02(002). P. 146 – 164. – IDA [article id]: 0020302013. – access mode: http://ej.kubagro.ru/2003/02/pdf/13.pdf, 1,188 cu.

Lutsenko D. S., Lutsenko E. V. intellectual Dating of the text, determination of authorship and genre on the example of Russian literature of the XIX and XX centuries, 2020 // article in the open archive. 38 p. – DOI: 10.13140/RG.2.2.28824.01281, https://www.elibrary.ru/item.asp?id=43796415

Lutsenko D. S., Lutsenko E. V. intellectual attribution of literary texts (finding text dates, determining authorship and genre on the example of Russian literature of the XIX and XX centuries), 2020 // Article in the open archive. 9 P. – DOI: 10.13140/RG.2.2.15349.81122, https://www.elibrary.ru/item.asp?id=43794562

https://github.com/malteos/awesome-document-similarity is a good start. Duc Huy Nguyen good recommendation