Browse State-of-the-Art › Twitter Sentiment Analysis
Twitter Sentiment Analysis
14 papers with code · 0 benchmarks · 7 datasets archive 2025-07-28
Twitter sentiment analysis is the task of performing sentiment analysis on tweets from Twitter.
Description from the archive 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
7 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
1 subtask in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
14 shown of 14 papers with code (96 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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20 Apr 2017 6 repositories listedIn this paper we describe our attempt at producing a state-of-the-art Twitter sentiment classifier using Convolutional Neural Networks (CNNs) and Long Short Term Memory (LSTMs) networks.
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30 Aug 2018 4 repositories listedHowever, this dataset has not been comprehensively studied to its potential.
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17 Feb 2023 3 repositories listedThese include 75 languages with at least one million speakers each.
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1 Dec 2020 2 repositories listedIn this work, we introduce a GRU-based architecture called GRUBERT that learns to map the different BERT hidden layers to fused embeddings with the aim of achieving high accuracy on the Twitter sentiment analysis task.
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25 Apr 2017 2 repositories listedVarious modifications of decision trees have been extensively used during the past years due to their high efficiency and interpretability.
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2 Apr 2025 1 repository listedThis paper aims to scrutinize the inherent vulnerabilities of such models in Twitter sentiment analysis.
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26 Apr 2023 1 repository listedWe present the findings of SemEval-2023 Task 12, a shared task on sentiment analysis for low-resource African languages using Twitter dataset.
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3 Mar 2023 1 repository listedIn this study, we develop an end-to-end model that can forecast the sentiment of a set of tweets (using a Bidirectional Encoder Representations from Transformers - based Neural Network Model) and forecast the price of…
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16 Oct 2021 1 repository listedIn this article, the proposed n-stage LDA method, which can enable the LDA method to be used more effectively, is explained in detail.
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13 Jun 2021 1 repository listedIn this report, address the problem of sentiment classification on the Twitter dataset.
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21 Apr 2021 1 repository listedAs a strong baseline, we propose a two-stage DL-based method: first, we create automatically labeled training data by applying a standard sentiment classifier to tweet replies and aggregating its predictions for each…
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12 Mar 2019 1 repository listedOnce we are happy with the quality of our input data, we proceed to choosing the optimal deep learning architecture for this task.
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12 Jul 2017 1 repository listedTraditional sentiment analysis approaches tackle problems like ternary (3-category) and fine-grained (5-category) classification by learning the tasks separately.
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7 Apr 2017 1 repository listedThe first space is a bag-of-words model and has a Linear SVM as base classifier.
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