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Sentiment Classification

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TitleStatusHype
Linguistic approach based Transfer Learning for Sentiment Classification in Hindi—0
NLPSA at IJCNLP-2017 Task 2: Imagine Scenario: Leveraging Supportive Images for Dimensional Sentiment Analysis—0
ADAPT at IJCNLP-2017 Task 4: A Multinomial Naive Bayes Classification Approach for Customer Feedback Analysis task—0
Improving the Accuracy of Pre-trained Word Embeddings for Sentiment AnalysisCode0
Joint Sentiment/Topic Modeling on Text Data Using Boosted Restricted Boltzmann Machine—0
Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network—0
Fine-tuning Tree-LSTM for phrase-level sentiment classification on a Polish dependency treebank. Submission to PolEval task 2Code0
Leveraging Auxiliary Tasks for Document-Level Cross-Domain Sentiment Classification—0
Sentence Modeling with Deep Neural Architecture using Lexicon and Character Attention Mechanism for Sentiment Classification—0
Cascading Multiway Attentions for Document-level Sentiment Classification—0
Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision—0
Convolutional Neural Networks for Sentiment Classification on Business Reviews—0
Sentiment Classification with Word Attention based on Weakly Supervised Learning with a Convolutional Neural Network—0
Replicability Analysis for Natural Language Processing: Testing Significance with Multiple DatasetsCode0
EDEN: Evolutionary Deep Networks for Efficient Machine Learning—0
Using objective words in the reviews to improve the colloquial arabic sentiment analysis—0
Text Compression for Sentiment Analysis via Evolutionary Algorithms—0
Interactive Attention Networks for Aspect-Level Sentiment ClassificationCode0
Multi-entity sentiment analysis using entity-level feature extraction and word embeddings approach—0
Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension—0
Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network—0
Idiom-Aware Compositional Distributed Semantics—0
Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment SupervisionCode0
Robust Task Clustering for Deep Many-Task Learning—0
Leveraging Sparse and Dense Feature Combinations for Sentiment Classification—0
Radical-level Ideograph Encoder for RNN-based Sentiment Analysis of Chinese and Japanese—0
Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNNCode0
Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations—0
Learning Word Representations with Regularization from Prior Knowledge—0
Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information—0
Feature Selection as Causal Inference: Experiments with Text Classification—0
MI\&T Lab at SemEval-2017 task 4: An Integrated Training Method of Word Vector for Sentiment Classification—0
SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification—0
Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic Tweets—0
TwiSe at SemEval-2017 Task 4: Five-point Twitter Sentiment Classification and Quantification—0
CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification—0
DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis—0
XJSA at SemEval-2017 Task 4: A Deep System for Sentiment Classification in Twitter—0
TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision—0
YNUDLG at SemEval-2017 Task 4: A GRU-SVM Model for Sentiment Classification and Quantification in Twitter—0
YNU-HPCC at SemEval 2017 Task 4: Using A Multi-Channel CNN-LSTM Model for Sentiment Classification—0
LIA at SemEval-2017 Task 4: An Ensemble of Neural Networks for Sentiment Classification—0
NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings—0
funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts—0
EICA at SemEval-2017 Task 4: A Simple Convolutional Neural Network for Topic-based Sentiment Classification—0
Dual Rectified Linear Units (DReLUs): A Replacement for Tanh Activation Functions in Quasi-Recurrent Neural NetworksCode1
Multitask Learning for Fine-Grained Twitter Sentiment AnalysisCode0
Deep Pyramid Convolutional Neural Networks for Text CategorizationCode0
Linguistically Regularized LSTM for Sentiment Classification—0
A Deep Neural Architecture for Sentence-level Sentiment Classification in Twitter Social NetworkingCode0
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