Alberto Pepe

Artificial Intelligence · 2009–2012

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Alberto Pepe trusts overall

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

  1. Michael Gamon
  2. Tetsuya Nasukawa
  3. Jeonghee Yi
  4. Gunther Eysenbach
  5. Bo Pang

Who trusts Alberto Pepe overall

  1. Saif M. Mohammad
  2. Mike Thelwall
  3. Pollyanna Gonçalves

Papers from Alberto Pepe's perspective

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

  1. Sentiment analysis: capturing favorability using natural language processing
  2. Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques (Third IEEE International Conference on Data Mining)
  3. Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales
  4. Diurnal and Seasonal Mood Vary with Work, Sleep, and Daylength Across Diverse Cultures
  5. Twitter mood predicts the stock market
  6. Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis (International Conference on Computational Linguistics)
  7. Capturing Global Mood Levels using Blog Posts
  8. Why we twitter: understanding microblogging usage and communities
  9. Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact (Journal of Medical Internet Research)
  10. From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series (International Conference on Web and Social Media)

Their papers