NLPExplorer

AVAYA: Sentiment Analysis on Twitter with Self-Training and Polarity Lexicon Expansion

Lee Becker | George Erhart | David Skiba | Valentine Matula |

Month: June
Year: 2013
Location: Atlanta, Georgia, USA
Venue: *SEMEVAL |

ECNU: Expression- and Message-level Sentiment Orientation Classification in Twitter Using Multiple Effective Features
Jiang Zhao | Man Lan | Tiantian Zhu |

RTRGO: Enhancing the GU-MLT-LT System for Sentiment Analysis of Short Messages
Tobias Günther | Jean Vancoppenolle | Richard Johansson |

Senti.ue: Tweet Overall Sentiment Classification Approach for SemEval-2014 Task 9
José Saias |

UKPDIPF: Lexical Semantic Approach to Sentiment Polarity Prediction in Twitter Data
Lucie Flekova | Oliver Ferschke | Iryna Gurevych |

PotTS at SemEval-2016 Task 4: Sentiment Analysis of Twitter Using Character-level Convolutional Neural Networks.
Uladzimir Sidarenka |

Tagging Sentiment Analysis

Semi-supervised Learning

English

Social Media Twitter

Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach

Shafiq Joty | Tasnim Mohiuddin |

Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora

Andrius Mudinas | Dell Zhang | Mark Levene |

TwitIE: An Open-Source Information Extraction Pipeline for Microblog Text

Argumentation Mining in User-Generated Web Discourse

Ivan Habernal | Iryna Gurevych |