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Deep Ensemble Network for Sentiment Analysis in Bi-lingual Low-resource Languages

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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DravidianCodeMix: sentiment analysis and offensive language identification dataset for Dravidian languages in code-mixed text.

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Contextual semantics using hierarchical attention network for sentiment classification in social internet-of-things

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A Framework for Hate Speech Detection Using Deep Convolutional Neural Network

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Sentiment Analysis Using Convolutional Neural Network

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SAEKCS: Sentiment Analysis for English – Kannada Code SwitchText Using Deep Learning Techniques

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Techniques and applications for sentiment analysis

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Overview of the track on Sentiment Analysis for Dravidian Languages in Code-Mixed Text

inferredcites →https://doi.org/10.1145/3503162.3503177openalex-snapshot

Overview of the DravidianCodeMix 2021 Shared Task on Sentiment Detection in Tamil, Malayalam, and Kannada

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Hybrid Deep Learning Model for Sarcasm Detection in Indian Indigenous Language Using Word-Emoji Embeddings

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DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

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ktrain: A Low-Code Library for Augmented Machine Learning

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JUNLP@Dravidian-CodeMix-FIRE2020: Sentiment Classification of Code-Mixed Tweets using Bi-Directional RNN and Language Tags

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CMSAOne@Dravidian-CodeMix-FIRE2020: A Meta Embedding and Transformer model for Code-Mixed Sentiment Analysis on Social Media Text

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A Sentiment Analysis Dataset for Code-Mixed Malayalam-English

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Sentiment Analysis in Low-Resource Settings: A Comprehensive Review of Approaches, Languages, and Data Sources

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