111 search results - page 1 / 23 » Sentiment Summarization: Evaluating and Learning User Prefer... |
EACL
2009
ACL Anthology
14 years 5 months ago
2009
ACL Anthology
We present the results of a large-scale, end-to-end human evaluation of various sentiment summarization models. The evaluation shows that users have a strong preference for summar...
COLING
2010
12 years 11 months ago
2010
Automated identification of diverse sentiment types can be beneficial for many NLP systems such as review summarization and public media analysis. In some of these systems there i...
ACL
2010
13 years 2 months ago
2010
We propose a novel algorithm for sentiment summarization that takes account of informativeness and readability, simultaneously. Our algorithm generates a summary by selecting and ...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Eye tracking experiments have shown that titles of Web search results play a crucial role in guiding a user’s search process. We present a machine-learned algorithm that trains ...
AAAI
2006
13 years 6 months ago
2006
Evaluating text fragments for positive and negative subjective expressions and their strength can be important in applications such as single- or multi- document summarization, do...