摘要
文中从基于词典和规则、机器学习这两个方向出发,对主观性文本的情感分类技术进行梳理和归纳。重点分析情感分类研究中的方法和技术,总结了基于词典、基于机器学习,以及最新研究技术深度学习、神经网络等在分类方法上关键的环节及其存在的问题,提出了未来的研究方向。
Based on the two directions of dictionaries and rules and machine learning,this paper sorts and summarizes the subjective text emotion classification. The paper mainly analyzes the methods and techniques in the research on emotion classification,and summarizes the key links and their existing problems in the classification methods based on the lexicon,machine learning and the latest research depth of technology,neural networks and so on,and it puts forward the future research direction.
作者
孔杏
林庆
KONG Xing;LIN Qing(School of Computer Science and Communication Engineering,Jiangsu University,Zhenjiang 212013,Jiangsu Province,China;School of Computer Science and Technology,Nanjing University of Science and Technology,Nanjing 210094,China)
出处
《信息技术》
2018年第8期126-130,134,共6页
Information Technology
关键词
主观性文本
情感分类
特征提取
机器学习
subjective text
sentiment classitication
feature extraction
machine learning
作者简介
孔杏（1991-），女，硕士研究生，研究方向为数据挖掘与人工智能、自然语言理解。
