Modern Approaches to Aspect-Based Sentiment Analysis

Abstract

The paper presents a survey of methods solving the actual task of aspect-based sentiment analysis. Solutions for this task were proposed at multiple natural language processing conferences. Organizers of these conferences proposed evaluation platforms for methods for aspect-based sentiment analysis. This paper describes methods proposed by participants of two international evaluation platforms: SemEval-2015 focusing on English texts and SentiRuEval-2015 focusing on Russian texts.

Keywords

• анализ эмоциональной окраски
• извлечение аспектных терминов
• обработка текстов на естественном языке
• машинное обучение