Cross-lingual Sentiment Analysis of Code-Mixed Corpus based on Cross-lingual Word Embedding-Reference-Cited by-同舟云学术

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Cross-lingual Sentiment Analysis of Code-Mixed Corpus based on Cross-lingual Word Embedding

Published:2023-12-13 Issue: Volume:1 Page:101-106
ISSN:
Container-title:2023 3rd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA)
language:
Short-container-title:

Author:

Frias Reyjohn R.¹,Medina Ruji P.¹,Sison Ariel M.²

Affiliation:

1. Technological Institute of the Philippines Quezon City,Graduate Programs,Quezon City,Philippines

2. Emilio Aguinaldo College,School of Engineering and Technology,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10428113/10428121/10428917.pdf?arnumber=10428917

Reference32 articles.

1. Sentiment classification on Tamil and Telugu text using RNNs and Transformers

2. A Survey of Cross-lingual Sentiment Analysis: Methodologies, Models and Evaluations

3. COVID19 Outbreak: A Hierarchical Framework for User Sentiment Analysis

4. FastText.zip: Compressing text classification models;Joulin,2016

5. Efficient estimation of word representations in vector space;Mikolov

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