Browse State-of-the-Art › Subjectivity Analysis
Subjectivity Analysis
21 papers with code · 2 benchmarks · 2 datasets archive 2025-07-28
A related task to sentiment analysis is the subjectivity analysis with the goal of labeling an opinion as either subjective or objective.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| SUBJ (19 rows) | RoBERTa+DualCL | Dual Contrastive Learning: Text Classification via Label-Aware... | code | — | Compare |
| Czech Subjectivity Dataset (5 rows) | XLM-R-Large | Czech Dataset for Cross-lingual Subjectivity Classification | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
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
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
21 shown of 21 papers with code (63 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.
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29 Mar 2018 24 repositories listed Syntology ran 1 of 22 samples · 21 unverified · 1 pointer-only (licence)For both variants, we investigate and report the relationship between model complexity, resource consumption, the availability of transfer task training data, and task performance.
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31 Jan 2019 16 repositories listed Syntology ran 2 of 13 samples · 11 unverified · 1 pointer-only (licence)We present EDA: easy data augmentation techniques for boosting performance on text classification tasks.
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20 Jun 2016 5 repositories listed Syntology ran 0 of 6 samples · 6 unverifiedThis paper introduces to the scientific community the first opinion-level annotated corpus of sentiment and subjectivity analysis in online videos called Multimodal Opinion-level Sentiment Intensity dataset (MOSI).
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29 Mar 2018 4 repositories listedIn this study, we explore capsule networks with dynamic routing for text classification.
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5 Feb 2017 4 repositories listed Syntology ran 2 of 26 samples · 24 unverifiedThe postprocessing is empirically validated on a variety of lexical-level intrinsic tasks (word similarity, concept categorization, word analogy) and sentence-level tasks (semantic textural similarity and { text…
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29 Apr 2021 3 repositories listed Syntology ran 1 of 3 samples · 2 unverifiedLarge pre-trained language models (LMs) have demonstrated remarkable ability as few-shot learners.
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5 Dec 2016 3 repositories listedSentiment analysis is one of the fastest growing research areas in computer science, making it challenging to keep track of all the activities in the area.
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22 Apr 2025 2 repositories listedCAPO is an evolutionary approach with LLMs as operators, incorporating racing to save evaluations and multi-objective optimization to balance performance with prompt length.
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29 Apr 2022 2 repositories listedOur prime motivation is to provide a reliable dataset that can be used with the existing English dataset as a benchmark to test the ability of pre-trained multilingual models to transfer knowledge between Czech and…
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21 Jan 2022 2 repositories listedContrastive learning has achieved remarkable success in representation learning via self-supervision in unsupervised settings.
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24 May 2018 2 repositories listedMany deep learning architectures have been proposed to model the compositionality in text sequences, requiring a substantial number of parameters and expensive computations.
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3 Feb 2018 2 repositories listedIn this paper, we propose the Gated Multimodal Embedding LSTM with Temporal Attention (GME-LSTM(A)) model that is composed of 2 modules.
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5 Apr 2017 2 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedWe explore the properties of byte-level recurrent language models.
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15 Jul 2025 1 repository listedThis paper presents AI Wizards' participation in the CLEF 2025 CheckThat!
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1 Jul 2024 1 repository listedIn this paper, we apply a method to quantify biases associated with named entities from various countries.
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Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach9 May 2021 1 repository listedFor the regression task, VADEC, when trained with SenWave, achieves 7.
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6 Apr 2021 1 repository listedWe obtained state-of-the-art results on the subjectivity task by fine-tuning the BERT Language Model.
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23 Feb 2019 1 repository listedThe Vector of Locally-Aggregated Word Embeddings (VLAWE) representation of a document is then computed by accumulating the differences between each codeword vector and each word vector (from the document) associated to…
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3 Sep 2018 1 repository listedTo this aim, an important step to detect fake-news is to have access to a credibility score for a given information source.
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14 Jun 2018 1 repository listedWe are the first to use translations as domain-free contexts for sentence classification.
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20 Apr 2015 1 repository listedThe ability to accurately model a sentence at varying stages (e.
Syntology lines on 6 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections