ScholarGate
助手
Process / pipeline

基于词典的情感分析

基于词典的情感分析使用预先构建的情感词典(如 AFINN (Nielsen, 2011)、SentiWordNet、VADER (Hutto & Gilbert, 2014) 和 NRC Emotion Lexicon)在词语级别计算情感。它通过查找带有情感分值的词语来对文本进行评分,因此不需要标注的训练数据。

在 MethodMind 中打开即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Nielsen, F.Å. (2011). A New ANEW: Evaluation of a Word List for Sentiment Analysis in Microblogs. Proceedings of the ESWC Workshop on 'Making Sense of Microposts'. link
  2. Hutto, C.J. & Gilbert, E. (2014). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), 8(1), 216-225. DOI: 10.1609/icwsm.v8i1.14550

如何引用本页

ScholarGate. (2026, June 1). Lexicon-Based Sentiment Analysis. ScholarGate. https://scholargate.app/zh/text-mining/lexicon-based-sentiment

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side
ScholarGateLexicon-Based Sentiment Analysis (Lexicon-Based Sentiment Analysis). 于 2026-06-15 检索自 https://scholargate.app/zh/text-mining/lexicon-based-sentiment · 数据集: https://doi.org/10.5281/zenodo.20539026