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Design and Implementation of an Algorithm for Tracking of Fiction Characters

Student: Aleksandra Spiridonova

Supervisor: Eduard Klyshinskiy

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)

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