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English-Malay Cross-Lingual Embedding Alignment using Bilingual Lexicon Augmentation
We augmented the training bilingual lexicons using machine translation with the goal to improve the alignment precision of our cross-lingual word embeddings.
XLNET-GRU Sentiment Regression Model for Cryptocurrency News in English and Malay
Contextual word embeddings such as the transformer language models are gaining popularity in text classification and analytics but have rarely been explored for sentiment analysis on cryptocurrency news particularly on languages other than English.
English-Malay Word Embeddings Alignment for Cross-lingual Emotion Classification with Hierarchical Attention Network
Also, the word-level attention could be transferred to the Malay tweets accurately using the cross-lingual word embeddings.
EmoTweet-28: A Fine-Grained Emotion Corpus for Sentiment Analysis
This paper describes EmoTweet-28, a carefully curated corpus of 15, 553 tweets annotated with 28 emotion categories for the purpose of training and evaluating machine learning models for emotion classification.
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