Work

Methods for Sentiment Analysis of Twitter Messages

Year: 2012

Type: conference-paper

Abstract: This paper deals with the study of existing sentiment analysis methods, as well as development and implementation of methods for sentiment analysis of Twitter messages. The method designed includes algorithms for determining the polarity of a message and its aspects. The purpose of this paper is to investigate and develop methods for analysis of the tonality of messages in the social media. To achieve this purpose, the following tasks were set: 1. Review the existing automatic sentiment analysis methods. 2. Study the text features of social media messages in the context of developing methods for their sentiment analysis. 3. Develop a method for automatic sentiment analysis of Twitter messages.

Source: DOAJ (DOAJ: Directory of Open Access Journals)

Authors: Anton Barhan, Andrey Shakhomirov

Institution: Saint Petersburg State University of Aerospace and Instrumentation

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3168853887

FWCI: 0.26

Cites: 5

Cited by: 21

Related to: 10