19 citations · 26 across the 2 of their papers we have counts for
4 papers · 1 filter
ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction
Jiahao Bu, Lei Ren, Shuang Zheng +4
Sentiment analysis has attracted increasing attention in e-commerce. The sentiment polarities underlying user reviews are of great value for business intelligence. Aspect category…
Query-aware Tip Generation for Vertical Search
Yang Yang, Junmei Hao, Canjia Li +7
As a concise form of user reviews, tips have unique advantages to explain the search results, assist users' decision making, and further improve user experience in vertical search…
Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis
Bowen Xing, Lejian Liao, Dandan Song +4
Aspect-based sentiment analysis (ABSA) aims to predict fine-grained sentiments of comments with respect to given aspect terms or categories. In previous ABSA methods, the importanc…
A Multi-task Learning Approach for Improving Product Title Compression with User Search Log Data
Jingang Wang, Junfeng Tian, Long Qiu +4
It is a challenging and practical research problem to obtain effective compression of lengthy product titles for E-commerce. This is particularly important as more and more users b…