Browse State-of-the-Art › Sentiment Classification
Sentiment Classification
332 papers with code · 0 benchmarks · 15 datasets archive 2025-07-28
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
15 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
30 shown of 332 papers with code (949 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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9 Mar 2017 52 repositories listed Syntology ran 4 of 10 samples · 6 unverified · 2 pointer-only (licence)This paper proposes a new model for extracting an interpretable sentence embedding by introducing self-attention.
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28 Feb 2015 16 repositories listed Syntology ran 6 of 15 samples · 9 unverified · 6 pointer-only (licence)Because of their superior ability to preserve sequence information over time, Long Short-Term Memory (LSTM) networks, a type of recurrent neural network with a more complex computational unit, have obtained strong…
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31 Aug 2019 10 repositories listedThe pre-trained language models have achieved great successes in various natural language understanding (NLU) tasks due to its capacity to capture the deep contextualized information in text by pre-training on…
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3 Dec 2015 10 repositories listed Syntology ran 0 of 3 samples · 3 unverifiedTarget-dependent sentiment classification remains a challenge: modeling the semantic relatedness of a target with its context words in a sentence.
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27 Nov 2015 10 repositories listedIn this work, we combine the strengths of both architectures and propose a novel and unified model called C-LSTM for sentence representation and text classification.
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1 Nov 2016 8 repositories listed
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28 May 2016 8 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)Such importance degree and text representation are calculated with multiple computational layers, each of which is a neural attention model over an external memory.
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Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders25 Oct 2019 7 repositories listed Syntology ran 3 of 11 samples · 8 unverifiedWe present Mockingjay as a new speech representation learning approach, where bidirectional Transformer encoders are pre-trained on a large amount of unlabeled speech.
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5 Nov 2016 7 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedRecurrent neural networks are a powerful tool for modeling sequential data, but the dependence of each timestep's computation on the previous timestep's output limits parallelism and makes RNNs unwieldy for very long…
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5 Nov 2019 6 repositories listedIn this paper, we introduce a new subtask under ABSA, named aspect sentiment triplet extraction (ASTE).
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27 Feb 2019 5 repositories listedTherefore, we should be able to learn a general representation of each class in the support set and then compare it to new queries.
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25 Feb 2019 5 repositories listedMost of the previous approaches model context and target words with RNN and attention.
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4 Sep 2017 5 repositories listedIn this paper, we argue that both targets and contexts deserve special treatment and need to be learned their own representations via interactive learning.
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25 Jun 2022 4 repositories listedThis paper proposes Protoformer, a novel self-learning framework for Transformers that can leverage problematic samples for text classification.
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30 Jan 2020 4 repositories listedIn this work, we apply adversarial training, which was put forward by Goodfellow et al.
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31 Oct 2019 4 repositories listed Syntology ran 4 of 29 samples · 25 unverified · 3 pointer-only (licence)Confident learning (CL) is an alternative approach which focuses instead on label quality by characterizing and identifying label errors in datasets, based on the principles of pruning noisy data, counting with…
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28 Mar 2019 4 repositories listed Syntology ran 9 of 9 samples · 0 unverifiedIn the natural language processing literature, neural networks are becoming increasingly deeper and complex.
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17 Feb 2023 3 repositories listedThese include 75 languages with at least one million speakers each.
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30 Aug 2019 3 repositories listed Syntology ran 0 of 7 samples · 7 unverifiedAspect-Target Sentiment Classification (ATSC) is a subtask of Aspect-Based Sentiment Analysis (ABSA), which has many applications e.
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16 Apr 2019 3 repositories listedCross-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…
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27 May 2013 3 repositories listedWe have explored different methods of improving the accuracy of a Naive Bayes classifier for sentiment analysis.
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24 Jul 2024 2 repositories listedSentiment Reasoning is an auxiliary task in sentiment analysis where the model predicts both the sentiment label and generates the rationale behind it based on the input transcript.
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12 Feb 2024 2 repositories listedWe ask the following question in this study: are 01 loss sign activation neural networks hard to deceive with a popular black box text adversarial attack program called TextFooler?
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29 Nov 2023 2 repositories listedWide us of this language on social media platforms such as Twitter, Instagram, or Tiktok and strategic position of the country in the world politics makes it appealing for the social network researchers and industry.
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8 Jun 2023 2 repositories listed Syntology ran 1 of 1 samples · 0 unverifiedThis paper introduces PIXIU, a comprehensive framework including the first financial LLM based on fine-tuning LLaMA with instruction data, the first instruction data with 136K data samples to support the fine-tuning,…
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23 Apr 2023 2 repositories listedThis paper presents a performance study of transformer language models under different hardware configurations and accuracy requirements and derives empirical observations about these resource/accuracy trade-offs.
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4 Oct 2022 2 repositories listed Syntology ran 1 of 1 samples · 0 unverifiedLarge language models (LLMs) have displayed an impressive ability to harness natural language to perform complex tasks.
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2 Aug 2022 2 repositories listedThe advancement of aspect-based sentiment analysis (ABSA) has urged the lack of a user-friendly framework that can largely lower the difficulty of reproducing state-of-the-art ABSA performance, especially for beginners.
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3 Apr 2022 2 repositories listedAI Blitz XIII Faces challenge hosted on www.
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18 Dec 2021 2 repositories listedIn this setting, the CL system learns a sequence of SC tasks incrementally in a neural network, where each task builds a classifier to classify the sentiment of reviews of a particular product category or domain.
Syntology lines on 11 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.
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