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Semi-supervised and Transfer learning approaches for low resource
  sentiment classification

Semi-supervised and Transfer learning approaches for low resource sentiment classification

7 June 2018
Rahul Gupta
Saurabh Sahu
C. Espy-Wilson
Shrikanth Narayanan
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Papers citing "Semi-supervised and Transfer learning approaches for low resource sentiment classification"

3 / 3 papers shown
Title
RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset
RideKE: Leveraging Low-Resource, User-Generated Twitter Content for Sentiment and Emotion Detection in Kenyan Code-Switched Dataset
Naome A. Etori
Maria Gini
76
2
0
10 Feb 2025
Transfer Learning for Low-Resource Sentiment Analysis
Transfer Learning for Low-Resource Sentiment Analysis
Razhan Hameed
Sina Ahmadi
Fatemeh Daneshfar
27
5
0
10 Apr 2023
Fine-tuning BERT for Low-Resource Natural Language Understanding via
  Active Learning
Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning
Daniel Grießhaber
J. Maucher
Ngoc Thang Vu
19
46
0
04 Dec 2020
1