%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 }