计算机与数字工程2016，Vol.44Issue(4)：578-582,766,6.DOI:10.3969/j.issn.1672-9722.2016.04.004
基于情感词典与机器学习的旅游网络评价情感分析研究
Sentiment Analysis of Tourism Reviews Based on Semantic Lexicon and Machine Learning
摘要
Abstract
This paper provides an approach for sentiment analysis of tourism reviews through Internet service by combi‐ning semantic lexicon with machine learning . The approach expresses tourism reviews by adopting Vector Space Model (VSM ) .It reduces dimension of feature space by semantic lexicon .The weights are calculated by term frequency‐inverse document frequency (TF‐IDF) .The tourism reviews are classified by Support Vector Machine (SVM ) .Experimental results show that the proposed approach can make sentiment classification for plenty of tourism reviews efficiently .关键词
机器学习/情感词典/情感分析Key words
machine learning/semantic lexicon/sentiment analysis分类
信息技术与安全科学引用本文复制引用
王新宇..基于情感词典与机器学习的旅游网络评价情感分析研究[J].计算机与数字工程,2016,44(4):578-582,766,6.基金项目
南京旅游职业学院基金项目（2015YKT10），大数据时代旅游数据挖掘与应用研究资助。 （）
