Pei Hua Cher

Artificial Intelligence · 2016

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

Whom Pei Hua Cher trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Christopher D. Manning (in Artificial Intelligence)
  2. Daniel Klein (in Artificial Intelligence)

Papers from Pei Hua Cher's perspective

Ordered by how strongly the researchers Pei Hua Cher trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
  2. Accurate Unlexicalized Parsing
  3. Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
  4. Thumbs up? Sentiment Classification using Machine Learning Techniques
  5. Mining the peanut gallery: opinion extraction and semantic classification of product reviews (The Web Conference)
  6. Predicting the Future with Social Media
  7. Robust Sentiment Detection on Twitter from Biased and Noisy Data (International Conference on Computational Linguistics)
  8. Twitter mood predicts the stock market
  9. Twitter as a Corpus for Sentiment Analysis and Opinion Mining (International Conference on Language Resources and Evaluation)
  10. Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment

Their papers