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Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach
This study focuses on hashtag-level sentiment classification, which aims to automatically generate the overall sentiment polarity for a given hashtag in a certain time period, and proposes a novel graph model and three approximate collective classification algorithms for inference. Expand
Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences
This article proposes a much more flexible web server called Pse-in-One, which can, through its 28 different modes, generate nearly all the possible feature vectors for DNA, RNA and protein sequences, and can also generate those feature vectors with the properties defined by users themselves. Expand
Modeling Mention, Context and Entity with Neural Networks for Entity Disambiguation
A new neural network approach is presented that takes consideration of the semantic representations of mention, context and entity, encodes them in continuous vector space and effectively leverages them for entity disambiguation. Expand
iDNA-Prot|dis: Identifying DNA-Binding Proteins by Incorporating Amino Acid Distance-Pairs and Reduced Alphabet Profile into the General Pseudo Amino Acid Composition
It is anticipated that the iDNA-Prot|dis predictor may become a useful high throughput tool for large-scale analysis of DNA-binding proteins, or at the very least, play a complementary role to the existing predictors in this regard. Expand
Kinship Measurement on Salient Facial Features
  • G. Guo, Xiaolong Wang
  • Computer Science
  • IEEE Transactions on Instrumentation and…
  • 24 February 2012
A recently developed descriptor, i.e., DAISY, is adapted to the problem to represent the salient features, and a dynamic scheme is developed to stochastically combine familial traits. Expand
A Cascade Method for Detecting Hedges and their Scope in Natural Language Text
This paper presents a system based on a cascade method for the CoNLL-2010 shared task, which achieves the best result on biological corpus for hedge detection and the scope of hedges. Expand
Using Amino Acid Physicochemical Distance Transformation for Fast Protein Remote Homology Detection
The proposed method SVM-PDT achieves superior or comparable performance with current state-of-the-art methods and its computational cost is considerably superior to those of other methods. Expand
Drug-Drug Interaction Extraction via Convolutional Neural Networks
This work proposed a CNN-based method for DDI extraction that achieves an F-score of 69.75%, which outperforms the existing best performing method by 2.75% and demonstrates that CNN is a good choice for D DI extraction. Expand
Identification of Real MicroRNA Precursors with a Pseudo Structure Status Composition Approach
Two new predictors were proposed for identifying the human pre-microRNAs by incorporating the global or long-range structure-order information using a way quite similar to the pseudo amino acid composition approach, which outperformed or were highly comparable with the best existing predictors in this area. Expand
Deeply-Learned Feature for Age Estimation
A new framework for age feature extraction based on the deep learning model is built and experimental results show that the proposed approach is significantly better than the state-of-the-art. Expand