Cross-Lingual Sentiment Classification

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (16 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Cross-Lingual Sentiment Quantification
  16 Apr 2019 3 repositories listed
  Cross-lingual sentiment quantification (and cross-lingual \emph{text} quantification in general) has never been discussed before in the literature; we establish baseline results for the binary case by combining…
• Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification
  6 Jun 2016 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  To tackle the sentiment classification problem in low-resource languages without adequate annotated data, we propose an Adversarial Deep Averaging Network (ADAN) to transfer the knowledge learned from labeled data on a…
• Cross-lingual sentiment classification in low-resource Bengali language
  1 Nov 2020 1 repository listed
  To address the lack of standard text-processing tools in Bengali, we leverage resources from English utilizing machine translation.
• Bridging the domain gap in cross-lingual document classification
  16 Sep 2019 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  We consider the setting of semi-supervised cross-lingual understanding, where labeled data is available in a source language (English), but only unlabeled data is available in the target language.
• Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification
  7 Jun 2018 1 repository listed
  To tackle this problem, cross-lingual sentiment classification approaches aim to transfer knowledge learned from one language that has abundant labeled examples (i.
• Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages
  23 May 2018 1 repository listed
  Sentiment analysis in low-resource languages suffers from a lack of annotated corpora to estimate high-performing models.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.