Current approaches to script identification rely on hand-selected features and often require processing a significant part of the document to achieve reliable identification. We p...
This paper proposes a binary classification tree aiming at solving multi-class classification problems using binary classifiers. The tree design is achieved in a way that a class ...
We present Sentiment Analyzer (SA) that extracts sentiment (or opinion) about a subject from online text documents. Instead of classifying the sentiment of an entire document abou...
Jeonghee Yi, Tetsuya Nasukawa, Razvan C. Bunescu, ...
In this paper, we describe a comparative study on techniques of feature transformation and classification to improve the accuracy of automatic text classification. The normalizati...
In this paper, we discuss the use of anthropomorphic form in the design of products. We assert that anthropomorphic form is not merely an embellishment but that it can be used as ...