Targeted Sentiment Analysis

Student: Rybakov Valerii

Supervisor: Alexey Malafeev

Faculty: Faculty of Humanities (Nizhny Novgorod)

Educational Programme: Fundamental and Applied Linguistics (Bachelor)

Year of Graduation: 2019

The paper investigates the problem of targeted sentiment analysis of texts. In this paper, a review of the subject area of sentiment analysis and its subsection of targeted sentiment analysis was carried out, the main areas of research on automatic targeted sentiment analysis were highlighted, and the method using the syntactic structure of a sentence was studied. The result of the research is a software implementation of a targeted sentiment analysis based on the formal structure of the syntactic dependencies. The quality of sentiment analysis was calculated using the F-measure metric, which amounted to 75.8 for restaurant domain and 55.7 for automobile domain. This approach does not use vocabulary specific to a particular subject area, therefore, the potential extensibility of the proposed method to other domains is possible.

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