Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 Tang2014
%A Tang, Duyu
%A Wei, Furu
%A Yang, Nan
%A Zhou, Ming
%A Liu, Ting
%A Qin, Bing
%D 2014
%K SentimentAnalysis Twitter WordEmbedding
%T Learning sentiment-specific word embedding for Twitter sentiment classification
%U http://dblp.uni-trier.de/db/conf/acl/acl2014-1.html#TangWYZLQ14
@inproceedings{Tang2014,
added-at = {2023-06-24T19:15:12.000+0200},
author = {Tang, Duyu and Wei, Furu and Yang, Nan and Zhou, Ming and Liu, Ting and Qin, Bing},
biburl = {https://www.bibsonomy.org/bibtex/2c8a97b236b29b9d7e4f07d1bdebf3b6e/tomvoelker},
description = {This paper presents a method for learning sentiment-specific word embedding for Twitter sentiment classification. The authors propose a neural network model that can learn sentiment-specific word embedding (SSWE) from massive sentiment-related tweets.},
interhash = {a3dbf98519349e9128c52e5107009b32},
intrahash = {c8a97b236b29b9d7e4f07d1bdebf3b6e},
keywords = {SentimentAnalysis Twitter WordEmbedding},
timestamp = {2023-06-24T19:15:12.000+0200},
title = {Learning sentiment-specific word embedding for Twitter sentiment classification},
url = {http://dblp.uni-trier.de/db/conf/acl/acl2014-1.html#TangWYZLQ14},
year = 2014
}