Meme Sentiment Analysis Enhanced with Multimodal Spatial Encoding and Face Embedding

[1]  C. Buntain,et al.  Exploiting the Right: Inferring Ideological Alignment in Online Influence Campaigns Using Shared Images , 2022, ICWSM Workshops.

[2]  Adrian Cosma,et al.  BLUE at Memotion 2.0 2022: You have my Image, my Text and my Transformer , 2022, DE-FACTIFY@AAAI.

[3]  Tanmoy Chakraborty,et al.  MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets , 2021, EMNLP.

[4]  Lanyu Shang,et al.  AOMD: An Analogy-aware Approach to Offensive Meme Detection on Social Media , 2021, Inf. Process. Manag..

[5]  Tanmoy Chakraborty,et al.  Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis , 2021, ICWSM.

[6]  Ahmed Al-Rawi.  Political Memes and Fake News Discourses on Instagram , 2021 .

[7]  Ilya Sutskever,et al.  Learning Transferable Visual Models From Natural Language Supervision , 2021, ICML.

[8]  Ron Zhu,et al.  Enhance Multimodal Transformer With External Label And In-Domain Pretrain: Hateful Meme Challenge Winning Solution , 2020, ArXiv.

[9]  Tanmoy Chakraborty,et al.  SemEval-2020 Task 8: Memotion Analysis- the Visuo-Lingual Metaphor! , 2020, SEMEVAL.

[10]  Ivan Marsic,et al.  Hybrid Attention based Multimodal Network for Spoken Language Classification , 2018, COLING.

[11]  Erik Cambria,et al.  A review of affective computing: From unimodal analysis to multimodal fusion , 2017, Inf. Fusion.

[12]  Lukasz Kaiser,et al.  Attention is All you Need , 2017, NIPS.

[13]  Jiebo Luo,et al.  Sentribute: image sentiment analysis from a mid-level perspective , 2013, WISDOM '13.

[14]  Aishwarya N. Reganti,et al.  Findings of Memotion 2: Sentiment and Emotion Analysis of Memes (short paper) , 2022, DE-FACTIFY@AAAI.

[15]  P. Pantel,et al.  The Hateful Memes Challenge: Competition Report , 2020, NeurIPS.

[16]  Serkan Ayvaz,et al.  The Effects of Emoji in Sentiment Analysis , 2017 .