A sentiment analysis has received a lot of attention from researchers working in the fields of
natural language processing and text mining. However, there is a lack of annotated data …

The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …

This paper presents a novel classification method, Deep Multitask Metric Learning (DMML),
for offline signature verification. Unlike existing methods that to verify questioned signatures …

In the field of natural language processing and text mining, sentiment analysis (SA) has
received huge attention from various researchers' across the globe. By the prevalence of …

作为社会媒体文本情感分析的重要的文本情感分类任务, 其可以有效缓解目标领域 (1)
按照目标领域中是否有带标签数据, 可分为直推式和归纳迁移方法, 模型迁移方法 …

The excellent performance of transfer learning has emerged in the past few years. How to
find feature representations which minimize the distance between source and target …

Abstract Domain adaptation in sentiment analysis is one of the areas where a classifier
trained in one domain often classifies sentiments poorly when applied to another domain …

作为社会媒体文本情感分析的重要的文本情感分类任务, 其可以有效缓解目标领域(1)
按照目标领域中是否有带标签数据, 可分为直推式和归纳迁移方法, 模型迁移方法 …

The massive availability of online reviews and postings in social media offers invaluable
feedback for businesses to make better informed decisions in steering their marketing …

Cross-domain sentiment classification consists in distinguishing positive and negative
reviews of a target domain by using knowledge extracted and transferred from a …