Bei Shi

Reader Comment Digest through Latent Event Facets and News Specificity

2018 · IEEE Transactions on Knowledge and Data Engineering

When a significant event occurs, many news articles from different newsagents often report it. Moreover, these newsagents also provide platforms for their readers to write comments expressing their views or understanding. Through digesting these reader …

Learning Domain-Sensitive and Sentiment-Aware Word Embeddings

2018

Word embeddings have been widely used in sentiment classification because of their efficacy for semantic representations of words. Given reviews from different domains, some existing methods for word embeddings exploit sentiment information, but they cannot …

Jointly Learning Word Embeddings and Latent Topics

2017

Word embedding models such as Skip-gram learn a vector-space representation for each word, based on the local word collocation patterns that are observed in a text corpus. Latent topic models, on the other hand, take …