← Back to papers

2015 SEMEVAL SemEval 2015

IITPSemEval: Sentiment Discovery from 140 Characters

Authors

Ayush Kumar , Vamsi Krishna , Asif Ekbal

Related papers

VectorSLU: A Continuous Word Vector Approach to Answer Selection in Community Question Answering Systems 2015

ECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter 2015

SHELLFBK: An Information Retrieval-based System For Multi-Domain Sentiment Analysis 2015

Twitter Paraphrase Identification with Simple Overlap Features and SVMs 2015

UQeResearch: Semantic Textual Similarity Quantification 2015