Sentiment Analysis for Social Media
*** Abstract: Sentiment analysis has become a key technology to gain insight from social networks. The field has reached a level of maturit...
STCS Lexicon: Spectral-Clustering-Based Topic-Specific Chinese Sentiment Lexicon Construction for Social Networks
*** Abstract: A sentiment lexicon is an important foundation for social network sentiment analysis. However, in social networks, the sentim...
Text-based emotion prediction system using machine learning approach
*** Abstract: Text-based input becomes a common channel for humans in sharing their opinions/emotions to the product or service through onli...
Lexicon-Enhanced Attention Network Based on Text Representation for Sentiment Classification
*** Abstract Text representation learning is an important but challenging issue for various natural language processing tasks. Recently, de...
Consensus Clustering of Tweet Networks via Semantic and Sentiment Similarity Estimation
*** Abstract: Although Twitter has become an important source of information, the number of accessible tweets is too large for users to easi...
DepecheMood++: A Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques
*** Abstract: Several lexica for sentiment analysis have been developed; while most of these come with word polarity annotations (e.g., posi...
A Novel Sentiment Polarity Detection Framework for Chinese
*** Abstract: Nowadays, mining opinions or sentiment from online user-generated text has become a research hot spot. Although a large amoun...
Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs
*** Abstract: People express their opinions and emotions freely in social media posts and online reviews that contain valuable feedback for ...
Ten quick tips for effective dimensionality reduction
*** Dimensionality reduction (DR) is frequently applied during the analysis of high-dimensional data. Both a means of denoising and simplif...
EmoMix: Building an Emotion Lexicon for Compound Emotion Analysis
*** Abstract: Building a high-quality emotion lexicon is regarded as the foundation of research on emotion analysis. Existing methods have ...
Anchor-Free Correlated Topic Modeling
. Abstract— In topic modeling, identifiability of the topics is an essential issue. Many topic modeling approaches have been developed und...
New Clustering Algorithms for Twitter Sentiment Analysis
*** Abstract: In this last decade, the use of social networks became ubiquitous in our daily life. Twitter, one of the famous social networ...
A comparative analysis of detection mechanisms for emotion detection
*** Abstract: This paper compared the performance of emotion detection mechanisms using dataset crawled from Facebook diabetes support group...
An Overview of Unsupervised Deep Feature Representation for Text Categorization
*** Abstract: High-dimensional features are extensively accessible in machine learning and computer vision areas. How to learn an efficient...
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...
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