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EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis
v1v2v3v4 (latest)

EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis

29 November 2018
Mario Graff
Sabino Miranda-Jiménez
Eric Sadit Tellez
Daniela Moctezuma
ArXiv (abs)PDFHTML

Papers citing "EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis"

20 / 20 papers shown
Title
A Case Study of Spanish Text Transformations for Twitter Sentiment
  Analysis
A Case Study of Spanish Text Transformations for Twitter Sentiment Analysis
Eric Sadit Tellez
Sabino Miranda-Jiménez
Mario Graff
Daniela Moctezuma
O. Siordia
E. Villaseñor
18
61
0
03 Jun 2021
SemEval-2013 Task 2: Sentiment Analysis in Twitter
SemEval-2013 Task 2: Sentiment Analysis in Twitter
Preslav Nakov
Zornitsa Kozareva
Alan Ritter
Sara Rosenthal
Veselin Stoyanov
Theresa Wilson
62
391
0
14 Dec 2019
SemEval-2017 Task 4: Sentiment Analysis in Twitter
SemEval-2017 Task 4: Sentiment Analysis in Twitter
Sara Rosenthal
N. Farra
Preslav Nakov
VLM
92
798
0
02 Dec 2019
UG18 at SemEval-2018 Task 1: Generating Additional Training Data for
  Predicting Emotion Intensity in Spanish
UG18 at SemEval-2018 Task 1: Generating Additional Training Data for Predicting Emotion Intensity in Spanish
M. Kuijper
Mike van Lenthe
Rik van Noord
16
8
0
28 May 2018
PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from
  emoji and #hashtags
PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags
Ji Ho Park
Peng Xu
Pascale Fung
50
54
0
23 Apr 2018
NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets
  with Deep Attentive RNNs and Transfer Learning
NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning
Christos Baziotis
Athanasiou Nikolaos
Alexandra Chronopoulou
Athanasia Kolovou
Georgios Paraskevopoulos
Nikolaos Ellinas
Shrikanth Narayanan
Alexandros Potamianos
55
127
0
18 Apr 2018
SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets
SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets
Venkatesh Duppada
R. Jain
Sushant Hiray
35
45
0
17 Apr 2018
Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention
  Mechanism for Sentiment Classification
Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification
A. Rozental
Daniel Fleischer
31
30
0
12 Apr 2018
EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and
  XGboost Regressors for Emotion Analysis of Tweets
EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of Tweets
M. Jabreel
Antonio Moreno
43
25
0
26 Feb 2018
Learning Word Vectors for 157 Languages
Learning Word Vectors for 157 Languages
Edouard Grave
Piotr Bojanowski
Prakhar Gupta
Armand Joulin
Tomas Mikolov
SSLFaML
95
1,429
0
19 Feb 2018
NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis
NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis
S. El-Beltagy
Mona El Kalamawy
A. Soliman
26
43
0
23 Oct 2017
Using millions of emoji occurrences to learn any-domain representations
  for detecting sentiment, emotion and sarcasm
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Bjarke Felbo
A. Mislove
Anders Søgaard
Iyad Rahwan
Sune Lehmann
87
744
0
01 Aug 2017
Senti17 at SemEval-2017 Task 4: Ten Convolutional Neural Network Voters
  for Tweet Polarity Classification
Senti17 at SemEval-2017 Task 4: Ten Convolutional Neural Network Voters for Tweet Polarity Classification
H. Hamdan
24
12
0
04 May 2017
BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and
  LSTMs
BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs
M. Cliche
56
231
0
20 Apr 2017
A Simple Approach to Multilingual Polarity Classification in Twitter
A Simple Approach to Multilingual Polarity Classification in Twitter
Eric Sadit Tellez
Sabino Miranda-Jiménez
Mario Graff
Daniela Moctezuma
R. R. Suárez
O. Siordia
25
46
0
15 Dec 2016
Are Word Embedding-based Features Useful for Sarcasm Detection?
Are Word Embedding-based Features Useful for Sarcasm Detection?
Aditya Joshi
Vaibhav Tripathi
Kevin Patel
P. Bhattacharyya
Mark James Carman
49
156
0
04 Oct 2016
Enriching Word Vectors with Subword Information
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAISSLVLM
229
9,972
0
15 Jul 2016
Modelling Context with User Embeddings for Sarcasm Detection in Social
  Media
Modelling Context with User Embeddings for Sarcasm Detection in Social Media
Silvio Amir
Byron C. Wallace
Hao Lyu
Mário J. Silva
110
252
0
04 Jul 2016
Multilingual Twitter Sentiment Classification: The Role of Human
  Annotators
Multilingual Twitter Sentiment Classification: The Role of Human Annotators
I. Mozetič
Miha Grcar
Jasmina Smailovic
43
215
0
24 Feb 2016
Automatic Sarcasm Detection: A Survey
Automatic Sarcasm Detection: A Survey
Aditya Joshi
P. Bhattacharyya
Mark James Carman
54
218
0
10 Feb 2016
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