SEACrowd/barasa

Barasa数据集是一个用于情感分析的印尼语SentiWordNet。每个词条通过(POS, ID)对唯一标识一个WordNet (3.0)的同义词集，并且包含PosScore和NegScore来表示词条的积极性和消极性。客观性分数可以通过公式ObjScore = 1 - (PosScore + NegScore)计算得出。数据集支持的任务是情感分析，并且提供了使用`datasets`库和`seacrowd`库加载数据集的示例代码。数据集的版本为1.0.0，许可证为MIT，并提供了相关的引用信息。

The Barasa dataset is an Indonesian SentiWordNet for sentiment analysis. For each term, the pair (POS, ID) uniquely identifies a WordNet (3.0) synset and there are PosScore and NegScore to show the positivity and negativity of the term. The objectivity score can be calculated as: ObjScore = 1 - (PosScore + NegScore). The dataset supports the task of sentiment analysis and provides example code for loading the dataset using the `datasets` library and the `seacrowd` library. The dataset version is 1.0.0, licensed under MIT, and includes relevant citation information.

原始信息汇总

Barasa 数据集概述

语言

• 印度尼西亚语（ind）

支持的任务

• 情感分析（Sentiment Analysis）

数据集描述

• Barasa 数据集是一个用于情感分析的印度尼西亚语 SentiWordNet。
• 每个词条通过 (POS, ID) 对唯一标识一个 WordNet (3.0) 同义词集，并包含 PosScore 和 NegScore 来表示词条的积极性和消极性。
• 客观性分数可以通过以下公式计算：ObjScore = 1 - (PosScore + NegScore)。

数据集版本

• 源版本：1.0.0
• SEACrowd 版本：None

数据集许可证

• MIT 许可证

引用

• 使用 Barasa 数据集时，请引用以下文献：

  @inproceedings{baccianella-etal-2010-sentiwordnet, title = "{S}enti{W}ord{N}et 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining", author = "Baccianella, Stefano and Esuli, Andrea and Sebastiani, Fabrizio", booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}10)", month = may, year = "2010", address = "Valletta, Malta", publisher = "European Language Resources Association (ELRA)", url = "http://www.lrec-conf.org/proceedings/lrec2010/pdf/769_Paper.pdf", abstract = "In this work we present SENTIWORDNET 3.0, a lexical resource explicitly devised for supporting sentiment classification and opinion mining applications. SENTIWORDNET 3.0 is an improved version of SENTIWORDNET 1.0, a lexical resource publicly available for research purposes, now currently licensed to more than 300 research groups and used in a variety of research projects worldwide. Both SENTIWORDNET 1.0 and 3.0 are the result of automatically annotating all WORDNET synsets according to their degrees of positivity, negativity, and neutrality. SENTIWORDNET 1.0 and 3.0 differ (a) in the versions of WORDNET which they annotate (WORDNET 2.0 and 3.0, respectively), (b) in the algorithm used for automatically annotating WORDNET, which now includes (additionally to the previous semi-supervised learning step) a random-walk step for refining the scores. We here discuss SENTIWORDNET 3.0, especially focussing on the improvements concerning aspect (b) that it embodies with respect to version 1.0. We also report the results of evaluating SENTIWORDNET 3.0 against a fragment of WORDNET 3.0 manually annotated for positivity, negativity, and neutrality; these results indicate accuracy improvements of about 20{%} with respect to SENTIWORDNET 1.0.", }

  @misc{moeljadi_2016, title={Neocl/Barasa: Indonesian SentiWordNet}, url={https://github.com/neocl/barasa}, journal={GitHub}, author={Moeljadi, David}, year={2016}, month={Mar} }

  @article{lovenia2024seacrowd, title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya}, year={2024}, eprint={2406.10118}, journal={arXiv preprint arXiv: 2406.10118} }