Sa-kwang Song
Finance · 2014
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Finance — 12 citations into it
- Economics and Econometrics — 8 citations into it
- Management Science and Operations Research — 8 citations into it
Whom Sa-kwang Song trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Sa-kwang Song's perspective
Ordered by how strongly the researchers Sa-kwang Song trusts endorse each paper. Same corpus, a different order for every researcher.
- Creating Subjective and Objective Sentence Classifiers from Unannotated Texts (Conference on Intelligent Text Processing and Computational Linguistics)
- Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web
- Measuring praise and criticism: Inference of semantic orientation from association
- Common risk factors in the returns on stocks and bonds
- Twitter mood predicts the stock market
- BoosTexter: A Boosting-based System for Text Categorization (Machine-mediated learning)
- Stock Price Reaction to News and No-news: Drift and Reversal After Headlines
- What moves stock prices?
- Opinion Mining and Sentiment Analysis (Foundations and Trends in Information Retrieval)
- Social Mood and Financial Economics
Their papers
- Media-aware quantitative trading based on public Web information (2014) — 74 citations