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NITS-Hinglish-SentiMix at SemEval-2020 Task 9: Sentiment Analysis For Code-Mixed Social Media Text Using an Ensemble Model
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NITS-Hinglish-SentiMix at SemEval-2020 Task 9: Sentiment Analysis For Code-Mixed Social Media Text Using an Ensemble Model

Subhra Jyoti Baroi
Nivedita Singh
Ringki Das
Thoudam Doren Singh
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Papers citing "NITS-Hinglish-SentiMix at SemEval-2020 Task 9: Sentiment Analysis For Code-Mixed Social Media Text Using an Ensemble Model"

3 / 3 papers shown
Title
The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges
The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges
Genta Indra Winata
Alham Fikri Aji
Zheng-Xin Yong
Thamar Solorio
163
42
0
19 Dec 2022
AtteSTNet -- An attention and subword tokenization based approach for code-switched text hate speech detection
AtteSTNet -- An attention and subword tokenization based approach for code-switched text hate speech detection
Geet Shingi
Vedangi Wagh
247
0
0
10 Dec 2021
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed TweetsInternational Workshop on Semantic Evaluation (SemEval), 2025
Parth Patwa
Gustavo Aguilar
Sudipta Kar
S. Pandey
Srinivas Pykl
Björn Gambäck
Tanmoy Chakraborty
Thamar Solorio
A. Das
VLM
148
173
0
10 Aug 2020

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