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Sentiment Analysis

1775 directly classified papers

Papers per year

Papers

Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features IJCNLP 2017
Sentence Modeling with Deep Neural Architecture using Lexicon and Character Attention Mechanism for Sentiment Classification IJCNLP 2017
Implicit Syntactic Features for Target-dependent Sentiment Analysis IJCNLP 2017
Cross-Lingual Sentiment Analysis Without (Good) Translation IJCNLP 2017
Text Sentiment Analysis based on Fusion of Structural Information and Serialization Information IJCNLP 2017
Aspect Extraction from Product Reviews Using Category Hierarchy Information EACL 2017
Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering EACL 2017
Single and Cross-domain Polarity Classification using String Kernels EACL 2017
Aye or naw, whit dae ye hink? Scottish independence and linguistic identity on social media EACL 2017
Online Learning of Task-specific Word Representations with a Joint Biconvex Passive-Aggressive Algorithm EACL 2017
FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings SEMEVAL 2017
IITPB at SemEval-2017 Task 5: Sentiment Prediction in Financial Text SEMEVAL 2017
ECNU at SemEval-2017 Task 5: An Ensemble of Regression Algorithms with Effective Features for Fine-Grained Sentiment Analysis in Financial Domain SEMEVAL 2017
COMMIT at SemEval-2017 Task 5: Ontology-based Method for Sentiment Analysis of Financial Headlines SEMEVAL 2017
UW-FinSent at SemEval-2017 Task 5: Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation SEMEVAL 2017
TakeLab at SemEval-2017 Task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial news SEMEVAL 2017
SentiHeros at SemEval-2017 Task 5: An application of Sentiment Analysis on Financial Tweets SEMEVAL 2017
INF-UFRGS at SemEval-2017 Task 5: A Supervised Identification of Sentiment Score in Tweets and Headlines SEMEVAL 2017
IBA-Sys at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News SEMEVAL 2017
ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification SEMEVAL 2017
INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment Analysis SEMEVAL 2017
funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts SEMEVAL 2017
LSIS at SemEval-2017 Task 4: Using Adapted Sentiment Similarity Seed Words For English and Arabic Tweet Polarity Classification SEMEVAL 2017
SSN_MLRG1 at SemEval-2017 Task 4: Sentiment Analysis in Twitter Using Multi-Kernel Gaussian Process Classifier SEMEVAL 2017
DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis SEMEVAL 2017