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1804.06658
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NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning
18 April 2018
Christos Baziotis
Athanasiou Nikolaos
Alexandra Chronopoulou
Athanasia Kolovou
Georgios Paraskevopoulos
Nikolaos Ellinas
Shrikanth Narayanan
Alexandros Potamianos
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Papers citing
"NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning"
7 / 7 papers shown
Title
Sentiment Analysis in SemEval: A Review of Sentiment Identification Approaches
Bousselham EL HADDAOUI
R. Chiheb
R. Faizi
A. E. Afia
39
0
0
13 Mar 2025
Using Emotion Embeddings to Transfer Knowledge Between Emotions, Languages, and Annotation Formats
Georgios Chochlakis
Gireesh Mahajan
Sabyasachee Baruah
Keith Burghardt
Kristina Lerman
Shrikanth Narayanan
17
6
0
31 Oct 2022
Cross Domain Emotion Recognition using Few Shot Knowledge Transfer
Justin Olah
Sabyasachee Baruah
Digbalay Bose
Shrikanth Narayanan
22
5
0
11 Oct 2021
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
40
95
0
01 Jul 2021
How Have We Reacted To The COVID-19 Pandemic? Analyzing Changing Indian Emotions Through The Lens of Twitter
Rajdeep Mukherjee
S. Poddar
Atharva Naik
Soham Dasgupta
15
5
0
20 Aug 2020
Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs
Prabod Rathnayaka
Supun Abeysinghe
Chamod Samarajeewa
Isura Manchanayake
M. Walpola
Rashmika Nawaratne
T. Bandaragoda
D. Alahakoon
11
21
0
17 Jul 2019
Sharing emotions at scale: The Vent dataset
Nikolaos Lykousas
Constantinos Patsakis
Andreas Kaltenbrunner
Vicencc Gómez
15
19
0
15 Jan 2019
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