Exploring weakly supervised latent sentiment explanations for aspect-level review analysis
In sentiment analysis, aspect-level review analysis has been an important task because it
can catalogue, aggregate, or summarize various opinions according to a product's …
can catalogue, aggregate, or summarize various opinions according to a product's …
Leveraging large data with weak supervision for joint feature and opinion word extraction
Product feature and opinion word extraction is very important for fine granular sentiment
analysis. In this paper, we leverage large-scale unlabeled data for joint extraction of feature …
analysis. In this paper, we leverage large-scale unlabeled data for joint extraction of feature …
基于弱监督信息和大量数据抽取评论的特征词和情感词
房磊， 刘彪， 黄民烈 - 计算机科学技术学报, 2015 - jcst.ict.ac.cn
特征词和情感词的抽取在情感分析领域是一项比较重要工作. 在本文中, 我们提出了一种基于
大量未标注的评论数据, 仅使用少数的特征词-情感词的搭配作为先验知识 …
大量未标注的评论数据, 仅使用少数的特征词-情感词的搭配作为先验知识 …
Text analytics of social media: Sentiment analysis, event detection and summarization
C Shen - 2014 - digitalcommons.fiu.edu
In the last decade, large numbers of social media services have emerged and been widely
used in people's daily life as important information sharing and acquisition tools. With a …
used in people's daily life as important information sharing and acquisition tools. With a …