This paper studies a text mining problem, comparative sentence mining (CSM). A comparative sentence expresses an ordering relation between two sets of entities with respect to some common features. For example, the comparative sentence “Canon’s optics are better than those of Sony and Nikon

This paper studies sentiment analysis from the user-generated content on the Web. In particular, it focuses on mining opinions from comparative sentences, i.e., to determine which entities in a comparison are preferred by its author. A typical comparative sentence compares two or more entities

Comparative sentences are used to express the explicit classifications between two entities with respect to the degree or quantity to which they possess some gradable property. Identifying the comparative sentences is a challenging task. This gives a new research direction for the researches

This paper studies a text mining problem, comparative sentence mining. A comparative sentence expresses an ordering relation between two sets of entities with respect to some common features. For example, the comparative sentence “Canon’s optics are better than those of Sony and Nikon ” expresses

This paper studies the problem of identifying comparative sentences in text documents. The problem is related to but quite different from sentiment/opinion sentence identification or classification. Sentiment classification studies the problem of classifying a document or a sentence based

Several parametric representations of the acoustic signal were compared as to word recognition performance in a syllable-oriented continuous speech recognition system. The vocabulary in-cluded many phonetically similar monosyllabic words, therefore the emphasis was on ability to retain

Abstract — This paper studies the comparative sentences in text document to identifying the product features opinion. Semantic analyses of comparative sentences contribute to describe the information about product and further use it for various purposes. Comparative sentences comparison two object

portuguese similar sentences. We propose a method based on lexical and syntatic information and some paraphrase rules to find different strings with the same meaning. A preliminary experiment suggests that the method has potential for identifying strings which are semantically related but lexically different

analysis is becoming increasingly useful in many application areas. This study develops a method for classifying sentences in Korean text documents into several different comparative types to facilitate their analysis. We divide our study into two tasks: 1) extracting comparative sentences from text

This paper proposes how to automatically identify Korean comparative sentences from text documents. This paper first investigates many comparative sentences referring to previous studies and then defines a set of comparative keywords from them. A sentence which contains one or more elements