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SENTIMENT ANALYSIS WITH RECURRENT NEURAL NETWORK AND UNSUPERVISED NEURAL LANGUAGE MODEL

Abstract: 

This paper describes a simple and efficient Neural Language Model approach for text classification that relies only on unsupervised word representation inputs. Our model employs Recurrent Neural Network Long Short-Term Memory (RNN-LSTM), on top of pre-trained word vectors for sentence-level classification tasks. In our hypothesis we argue that using word vectors obtained from an unsupervised neural language model as an extra feature with RNN-LSTM for Natural Language Processing (NLP) system can increase the performance of the system. Our technique has improved the model to capture syntactic and semantic word relationships. We show that simple RNN-LSTM with word2vec achieves excellent result on IMDB Stanford benchmark for sentiment analysis task.

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Paper Details

Authors:
Submitted On:
8 March 2017 - 9:34am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Abdalraouf Hassan
Paper Code:
ICASSP1701

Document Files

icassp2017_poster.pdf

(164 downloads)

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[1] , "SENTIMENT ANALYSIS WITH RECURRENT NEURAL NETWORK AND UNSUPERVISED NEURAL LANGUAGE MODEL", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1707. Accessed: May. 25, 2017.
@article{1707-17,
url = {http://sigport.org/1707},
author = { },
publisher = {IEEE SigPort},
title = {SENTIMENT ANALYSIS WITH RECURRENT NEURAL NETWORK AND UNSUPERVISED NEURAL LANGUAGE MODEL},
year = {2017} }
TY - EJOUR
T1 - SENTIMENT ANALYSIS WITH RECURRENT NEURAL NETWORK AND UNSUPERVISED NEURAL LANGUAGE MODEL
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1707
ER -
. (2017). SENTIMENT ANALYSIS WITH RECURRENT NEURAL NETWORK AND UNSUPERVISED NEURAL LANGUAGE MODEL. IEEE SigPort. http://sigport.org/1707
, 2017. SENTIMENT ANALYSIS WITH RECURRENT NEURAL NETWORK AND UNSUPERVISED NEURAL LANGUAGE MODEL. Available at: http://sigport.org/1707.
. (2017). "SENTIMENT ANALYSIS WITH RECURRENT NEURAL NETWORK AND UNSUPERVISED NEURAL LANGUAGE MODEL." Web.
1. . SENTIMENT ANALYSIS WITH RECURRENT NEURAL NETWORK AND UNSUPERVISED NEURAL LANGUAGE MODEL [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1707