Browse State-of-the-Art › Persian Sentiment Analysis
Persian Sentiment Analysis
7 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
Persian Sentiment analysis is the task of classifying the polarity of a given text.
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
2 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
7 shown of 7 papers with code (13 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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17 Jan 2022 2 repositories listedThe results indicate that this new approach increases the efficiency of the sentiment analysis model in the Persian language.
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24 Oct 2024 1 repository listedWe constructed a bipartite network from user reviews on the Persian retail platform "Atrafshan," with nodes representing users and perfumes, and edges formed by positive comments.
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22 Jun 2023 1 repository listedSecond, this study proposes a new architecture based on the convolutional neural network (CNN) model for more effective sentiment analysis of colloquial text in social microblog posts.
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17 Dec 2021 1 repository listedTo reduce these errors and improve the efficiency of model predictions, combining several models known as ensemble learning may provide better results.
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16 Sep 2021 1 repository listedThe developed models were evaluated using the collected dataset in terms of example-based and label-based metrics.
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11 Dec 2020 1 repository listedDespite the progress made in recent years in addressing natural language understanding (NLU) challenges, the majority of this progress remains to be concentrated on resource-rich languages like English.
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11 Apr 2020 1 repository listedTo best of our knowledge, we do not merely suffer from lack of well-annotated Persian sentiment corpus, but also a novel model to classify the Persian opinions in terms of both multiple and binary classification.
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