首页> 外文期刊>Journal of Emerging Technologies in Web Intelligence >A Survey on Sentiment Analysis and Opinion Mining Techniques
【24h】

A Survey on Sentiment Analysis and Opinion Mining Techniques

机译:情感分析与观点挖掘技术研究

获取原文
       

摘要

—Sentiment Analysis (SA), an application of Natural Language processing (NLP), has been witnessed a blooming interest over the past decade. It is also known as opinion mining, mood extraction and emotion analysis. The basic in opinion mining is classifying the polarity of text in terms of positive (good), negative (bad) or neutral (surprise). Mood Extraction automates the decision making performed by human. It is the important aspect for capturing public opinion about product preferences, marketing campaigns, political movements, social events and company strategies. In addition to sentiment analysis for English and other European languages, this task is applied on various Indian languages like Bengali, Hindi, Telugu and Malayalam. This paper describes the survey on main approaches for performing sentiment extraction.
机译:在过去十年中,自然语言处理(NLP)的应用-情感分析(SA)引起了人们的极大兴趣。它也被称为意见挖掘,情绪提取和情绪分析。意见挖掘的基础是按照正(好),负(坏)或中性(惊奇)对文本的极性进行分类。情绪提取可自动执行人类所做的决策。这是获取有关产品偏好,营销活动,政治运动,社交活动和公司战略的公众意见的重要方面。除了对英语和其他欧洲语言的情感分析外,该任务还适用于各种印度语言,例如孟加拉语,北印度语,泰卢固语和马拉雅拉姆语。本文介绍了进行情感提取的主要方法的调查。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号