Improving the Accuracy of Pre-trained Word Embeddings for Sentiment Analysis

23 November 2017

Papers citing "Improving the Accuracy of Pre-trained Word Embeddings for Sentiment Analysis"

5 / 5 papers shown

Title
On the Effects of Using word2vec Representations in Neural Networks for Dialogue Act Recognition Christophe Cerisara Pavel Král Ladislav Lenc 46 55 0 22 Oct 2020
SemEval-2015 Task 10: Sentiment Analysis in Twitter Sara Rosenthal Saif M. Mohammad Preslav Nakov Alan Ritter S. Kiritchenko Veselin Stoyanov 58 422 0 05 Dec 2019
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification Jan Deriu Aurelien Lucchi V. D. Luca Aliaksei Severyn Simon Müller Mark Cieliebak Thomas Hofmann Martin Jaggi 46 133 0 07 Mar 2017
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification Ye Zhang Byron C. Wallace AAML 102 1,200 0 13 Oct 2015
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets Saif M. Mohammad S. Kiritchenko Xiao-Dan Zhu 72 1,075 0 28 Aug 2013