Methods and Techniques of Assessment of the Value Orientations of Social Media Users
DOI:
https://doi.org/10.20535/tacs.2664-29132020.1.209476Abstract
The purpose of the work is to investigate and review the general concept of sentiment analysis and the use of such approach in assessment of the value orientations of social media users. The article analyzes main components and steps of sentiment analysis and different methods and techniques which are applied at each stage. The paper also researches machine learning approach in sentiment analysis: different algorithms were reviewed in details. Authors use methods of analysis for research of technologies and means of sentiment analysis, its functions, opportunities and advantages of use; comparison methods for researching individual techniques and methods. The article states that there are many options for further improvements in sentiment analysis and authors propose an original approach for determining emotional component in text.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
