Design and Implementation of an Algorithm for Tracking of Fiction Characters

Student: Spiridonova Aleksandra

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Applied Informatics (Bachelor)

Final Grade: 8

Year of Graduation: 2017

The work is devoted to the design of the algorithm for syntax analysis and further processing of fiction texts to establish a logical connection between the proper name of a literary character and his or her actions in the text. In order to solve this problem, I propose an approach using Stanford NLP implementations of Named Entity Recognizer to track and mark all named entities and Stanford Core Dependency parser for dependency representation of the sentence. As a result, I get a method for fiction text analysis, providing text file that can be easily transformed into graphical representation which can be useful for linguistic experts and literary critics.

Full text (added May 25, 2017)

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses