We investigate the impact of a discussion snippet’s overall sentiment on a user’s willingness to read more of a discussion. Using sentiment analysis, we constructed positive, ...
Hyung-il Ahn, Werner Geyer, Casey Dugan, David R. ...
We study the problem of learning parity functions that depend on at most k variables (kparities) attribute-efficiently in the mistake-bound model. We design a simple, deterministi...
In the context of computer-assisted plant identification we are facing challenging information retrieval problems because of the very high within-class variability and of the lim...
Enterprises often need to assess and manage the risk arising from uncertainty in their data. Such uncertainty is typically modeled as a probability distribution over the uncertain...
Peter J. Haas, Christopher M. Jermaine, Subi Arumu...
We investigate the effectiveness of both the standard evaluation measures and the opinion component for topical opinion retrieval. We analyze how relevance is affected by opinio...
Giambattista Amati, Giuseppe Amodeo, Valerio Capoz...