Metaphor Identification Using Topic Modelling

Student: Nikiforova Anastasiia

Educational Programme: Computational Linguistics (Master)

Final Grade: 10

Year of Graduation: 2020

Metaphor is used in all types of discourse, which makes its automatic processing indispensable in computational linguistics. Our work explores the possibility of identifying metaphorical texts using topic modeling. As part of the study, we built a number of classification algorithms for identifying metaphor, and also found out whether metaphorical texts have a topic distribution that distinguishes them from non-metaphorical texts.

Full text (added June 4, 2020)

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