Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
文脈:
感情分析は、テキストの内容が肯定的か否定的かを計算機でラベル付けするタスクです。これに対する一般的なアプローチの1つは、肯定的な意味合いを持つ単語（「素晴らしい」「愛らしい」「最高」など）と否定的な意味合いを持つ単語（「悪い」「恐ろしい」「ひどい」など）のリストを作成することです。そして、肯定的な単語と否定的な単語の数を数えます。
内容:
このデータセットには、タイ語の単語の3つのリストが含まれています。
* 罵り言葉（94語）
* 肯定的な単語（512語）
* 否定的な単語（1218語）
各リストは、1行に1つの単語が記載された.txtファイルです。文字エンコーディングはUTF - 8です。
謝辞:
このデータセットは、[Wannaphong Phatthiyaphaibun](https://github.com/wannaphongcom)によって作成され、CC - BY - SA 4.0ライセンスの下でここに再掲されています。（あなたは、彼の[このブログ](https://github.com/wannaphongcom/lexicon-thai/tree/master/sentiment)でのPython 3ドキュメントのタイ語への翻訳にも興味があるかもしれません。）
着想:
* [このタイ語コーパス](https://www.kaggle.com/rtatman/hse-thai-corpus)の感情分析ができますか？コーパスのウィキペディア部分と政府関連部分の感情に違いはありますか？
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- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
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