Sentiment Lexicon Construction With Hierarchical Supervision Topic Model
*** Abstract In this paper, we propose a novel hierarchical supervision topic model to construct a topic-adaptive sentiment lexicon TaSL fo...
Emotion-Semantic-Enhanced Neural Network
*** Abstract: Although sentiment analysis on microblog posts has been studied in depth, sentiment analysis of posts is still challenging bec...
Subspace Clustering of Very Sparse High-Dimensional Data
*** Abstract: In this paper we consider the problem of clustering collections of very short texts using subspace clustering. This problem a...
A Context Integrated Model for Multi-label Emotion Detection
*** Abstract: This paper explores the impact of taking the environment within which a tweet is made, on the task of analyzing sentiment orie...
Deep Self-Evolution Clustering
*** Abstract: Clustering is a crucial but challenging task in pattern analysis and machine learning. Existing methods often ignore the comb...
Textual data dimensionality reduction - a deep learning approach
*** Abstract: The growth of Internet has produced a high volume of natural language textual data. Such data can be sparse and may contain u...
User emotion analysis in conflicting versus non-conflicting regions using online social networks
*** Abstract: Society plays a vital role in maintaining the emotional health of an individual. People living in conflicting zones are emoti...
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