NLPExplorer

SemEval-2017 Task 4: Sentiment Analysis in Twitter

Sara Rosenthal | Noura Farra | Preslav Nakov |

Paper Details:

Month: August
Year: 2017
Location: Vancouver, Canada
Venue: *SEMEVAL |

Citations

URL

Encoding Sentiment Information into Word Vectors for Sentiment Analysis
Zhe Ye | Fang Li | Timothy Baldwin |

BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs
Mathieu Cliche |

NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment Analysis
Edilson Anselmo Corrêa Júnior | Vanessa Queiroz Marinho | Leandro Borges dos Santos |

deepSA at SemEval-2017 Task 4: Interpolated Deep Neural Networks for Sentiment Analysis in Twitter
Tzu-Hsuan Yang | Tzu-Hsuan Tseng | Chia-Ping Chen |

NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings
Yichun Yin | Yangqiu Song | Ming Zhang |

CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification
Raj Kumar Gupta | Yinping Yang |

SINAI at SemEval-2017 Task 4: User based classification
Salud María Jiménez-Zafra | Arturo Montejo-Ráez | Maite Martin | L. Alfonso Ureña-López |

ej-sa-2017 at SemEval-2017 Task 4: Experiments for Target oriented Sentiment Analysis in Twitter
Enkhzol Dovdon | José Saias |

Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter
Alon Rozental | Daniel Fleischer |

TWINA at SemEval-2017 Task 4: Twitter Sentiment Analysis with Ensemble Gradient Boost Tree Classifier
Naveen Kumar Laskari | Suresh Kumar Sanampudi |

Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic Tweets
Hala Mulki | Hatem Haddad | Mourad Gridach | Ismail Babaoglu |

SiTAKA at SemEval-2017 Task 4: Sentiment Analysis in Twitter Based on a Rich Set of Features
Mohammed Jabreel | Antonio Moreno |

EICA at SemEval-2017 Task 4: A Simple Convolutional Neural Network for Topic-based Sentiment Classification
Maoquan Wang | Shiyun Chen | Yufei Xie | Lu Zhao |

LIA at SemEval-2017 Task 4: An Ensemble of Neural Networks for Sentiment Classification
Mickael Rouvier |

TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision
Simon Müller | Tobias Huonder | Jan Deriu | Mark Cieliebak |

TSA-INF at SemEval-2017 Task 4: An Ensemble of Deep Learning Architectures Including Lexicon Features for Twitter Sentiment Analysis
Amit Ajit Deshmane | Jasper Friedrichs |

ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification
Yunxiao Zhou | Man Lan | Yuanbin Wu |

deepSA2018 at SemEval-2018 Task 1: Multi-task Learning of Different Label for Affect in Tweets
Zi-Yuan Gao | Chia-Ping Chen |

ARB-SEN at SemEval-2018 Task1: A New Set of Features for Enhancing the Sentiment Intensity Prediction in Arabic Tweets
El Moatez Billah Nagoudi |

UWB at IEST 2018: Emotion Prediction in Tweets with Bidirectional Long Short-Term Memory Neural Network
Pavel Přibáň | Jiří Martínek |

Field Of Study

Linguistic Trends

Morphology

Task

Sentiment Analysis Emotion Detection Social Science

Approach

Deep Learning

Language

Multilingual English Arabic

Dataset

Social Media Twitter Blogs

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