most citedSentiment Classification with Word Attention based on Weakly Supervised Learning with a Convolutional Neural Network

3 citations · 3 across the 1 of their papers we have counts for

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2 papers

cs.CL2018

Recurrent Neural Network-Based Semantic Variational Autoencoder for Sequence-to-Sequence Learning

Myeongjun Jang, Seungwan Seo, Pilsung Kang

Sequence-to-sequence (Seq2seq) models have played an important role in the recent success of various natural language processing methods, such as machine translation, text summariz…

cs.CL2017★ 3 cited

Sentiment Classification with Word Attention based on Weakly Supervised Learning with a Convolutional Neural Network

Gichang Lee, Jaeyun Jeong, Seungwan Seo +2

In order to maximize the applicability of sentiment analysis results, it is necessary to not only classify the overall sentiment (positive/negative) of a given document but also to…