Aspect Based Sentiment Analysis datasets
来源:互联网 发布:java调用第三方接口 编辑:程序博客网 时间:2024/05/19 16:36
Ganu的dataset:
比较经典的数据集是Ganu et al. (2009).3K的句子包括 aspect categories和sentence polarities.
(G. Ganu, N. Elhadad, and A. Marian, “Beyond the stars: Improving rating predictions using review text content”. Proceedings of the 12th International Workshop on the Web and Databases, Providence, Rhode Island, 2009.)多篇论文里面也有用,但是不知道为什么没有找到。
semeval2014年的数据
对G的数据集进行了修改,其中对aspect terms进行了标注,另外aspect term polarities也进行了标注,同时对aspect category-specific也进行了标注。(注意到之前只是对整个句子进行标注)对G的数据集合也进行了错误纠正。另外加了额外的餐厅评论,以同样的方式标注,成为测试集。
http://alt.qcri.org/semeval2014/task4/XML数据格式如下
<sentence id="813">
<text>All the appetizers and salads were fabulous, the steak was mouth watering and the pasta was delicious!!!</text>
<aspectTerms>
<aspectTerm term="appetizers" polarity="positive" from="8" to="18"/>
<aspectTerm term="salads" polarity="positive" from="23" to="29"/>
<aspectTerm term="steak" polarity="positive" from="49" to="54"/>
<aspectTerm term="pasta" polarity="positive" from="82" to="87"/>
</aspectTerms>
<aspectCategories>
<aspectCategory category="food" polarity="positive"/>
</aspectCategories>
</sentence>
并不能保证人工标注的结果的准确性。
The possible values of the polarity field are: “positive”, “negative”, “conflict”, “neutral”. The possible values of the category field are: “food”, “service”, “price”, “ambience”, “anecdotes/miscellaneous”.SemEval-2015
http://alt.qcri.org/semeval2015/task12/
这个数据集合感觉就变成了 1. Aspect Category (Entity and Attribute).比如说 {FOOD#QUALITY},Opinion Target Expression (OTE)以及Sentiment Polarity.
的
- 情感分析
1. Bing Liu的 Sentiment Analysis and Opinion Mining Morgan & Claypool Publishers
2. Bo Pang的 Opinion Mining and Sentiment Analysis
nltk的语义分析的例子
http://www.nltk.org/howto/sentiment.html
- Aspect Based Sentiment Analysis datasets
- Aspect Specific Sentiment Analysis using Hierarchical Deep Learning (Lakkaraju, 2014)
- 《Attention-based LSTM for Aspect-level Sentiment Classification》阅读笔记
- sentiment analysis
- 《OpinionMining and Sentiment Analysis》
- Sentiment Analysis Using Doc2Vec
- Joint Sentiment/Topic Model & Aspect and Sentiment Unification Model
- Joint Sentiment/Topic Model & Aspect and Sentiment Unification Model
- Paper reading on Sentiment Analysis
- Modern Methods for Sentiment Analysis
- 对比性句子sentiment analysis
- LSTM Networks for Sentiment Analysis
- Aspect-level Sentiment Classification using attention mechanism
- 情感分析(Sentiment Analysis)的难题
- 情感分析(Sentiment Analysis)的难题--转
- 情感分析(Sentiment Analysis)的难题
- 情感分析(Sentiment Analysis)的难题
- 关于SemEval2016 Task4 Sentiment Analysis的分析
- 5.3.2 128位颜色
- JQuery零碎知识点归纳
- A*寻路算法入门(六)
- Java正则表达式入门
- Java内存溢出的详细解决方案
- Aspect Based Sentiment Analysis datasets
- 成为Java高手的25个学习要点
- 26,字符串函数
- HDR(High Dynamic Range Imaging)在摄影中指高动态范围成像
- github android优秀的开源项目、作者推荐
- 单向链表 (Singly linked list) 的C++实现
- 用例图
- java API中Util包
- matlab:把cell中的某个元素删去