This paper presents a fuzzy set theory based approach to Chinese sentence-level sentiment
classification. Compared with traditional topic-based text classification techniques, the fuzzy …

Up to now, there are very few researches conducted on sentiment classification for Chinese
documents. In order to remedy this deficiency, this paper presents an empirical study of …

Sentence sentiment classification is an important task of sentiment analysis. It aims to
classify the sentences into positive, negative, or objective. One can consider sentence …

Previous researchers have considered sentiment analysis as a document classification task,
in which input documents are classified into predefined sentiment classes. Although there …

Sentiment classification is a task of classifying documents according to their overall
sentiment inclination. It is very important and popular in many web applications, such as …

Sentiment classification is a recent subdiscipline of text classification, which is concerned
not with the topic but with opinion. In this paper, we present a Korean sentence and …

Multi-class sentiment classification is a valuable research topic with extensive applications;
however, studies in the field remain relatively scarce. In the present paper, a method for …

(1. School of Computer Science and Technology, Harbin Institute of Technology Shenzhen
Graduate School, Shenzhen, Guangdong, 518000, China; 2. Depart of Computing, The …

Sentiment classification has attracted increasing interest from natural language processing.
The goal of sentiment classification is to automatically identify whether a given piece of text …

We propose a machine learning based method of sentiment classification of sentences
using word-level polarity. The polarities of words in a sentence are not always the same as …