Document-level sentiment classification aims to automate the task of classifying a textual
review, which is given on a single topic, as expressing a positive or negative sentiment. In …

This paper focuses on performing Sentiment Analysis of Twitter by adapting data from other
domains, commonly referred to as Domain Adaptation. While we show that Domain …

The abundance of discussion forums, Weblogs, e-commerce portals, social networking,
product review sites and content sharing sites has facilitated flow of ideas and expression of …

Sentiment Analysis also termed as opinion mining is a classification process which is used
to determine the polarity associated with user reviews in the form of text or images or …

摘要文章利用潜在狄利克雷分配(LDA) 模型和自组织映射(SOM) 方法比较分析了Twitter
与Weibo 平台上关于西非埃博拉渊Ebola 冤病毒爆发的微博热点主题类别 …

Introduction Predicting the sentiments and emotions of people from their texts is a critical
issue in cognitive computing. The explosive growth of social network services has led to a …

Abstract Artificial Neural Network (ANN) is an area of extensive research. The ANN has
been shown to have utility in a wide range of applications. In this chapter, we demonstrate …

With the widespread use of social media, companies now have access to a wealth of
customer feedback data which has valuable applications to Customer Relationship …

Nowadays sentiment analysis is active field of research, to extract people's opinion about
particular product or service. The most useful application of sentiment analysis is the …

There have been many discussions on forums, e-commerce sites, sites for reviewing
products, social media which helps in exchanging opinions, thoughts through free …