rktamplayo/MCFA

[IJCAI2018] Translations as Additional Contexts for Sentence Classification

28
/ 100
Experimental

This tool helps researchers and natural language processing practitioners classify sentences by leveraging translations into multiple languages as additional context. It takes an English sentence dataset (like movie reviews) and their translations, then outputs a classification model that benefits from multilingual insights. Anyone working on sentiment analysis, topic detection, or other text classification tasks, particularly across languages, would find this valuable.

No commits in the last 6 months.

Use this if you need to build a sentence classification model and believe that incorporating multilingual context from translations could improve accuracy.

Not ideal if you are looking for an out-of-the-box solution for general text classification without specific interest in leveraging translations or a deep understanding of machine learning pipelines.

natural-language-processing text-classification sentiment-analysis machine-translation computational-linguistics
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 16 / 25

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8

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6

Language

Python

License

Last pushed

May 05, 2018

Commits (30d)

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