Open Dataset
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
# もし役に立つと思ったら、是非アップボートしてください!!!
タブレット、携帯電話などの様々な製品に関する感情分析は、世界中の様々な人口統計学的特性のデータを収集する場合、面白いだけでなく難しいことがあります。このデータセットを使って、ユーザーが提供した生のテキストレビューに基づいて、様々な製品を4つの異なる感情クラスに正確に分類する機械学習モデルを開発します。これらの感情を分析することは、顧客により良いサービスを提供するだけでなく、レビューに表れているまたは隠されている多くの顧客の特性を明らかにすることもできます。
感情分析では、生のテキストを表現し、機械が理解できるようにするための前処理が必要なため、多くのことを考慮する必要があります。通常、生の情報を語幹化や見出し語化し、TF-IDFや単語埋め込みなどを使って表現します。しかし、TransformerベースのBERTモデルなどの最先端の自然言語処理モデルがあれば、TF-IDFやカウントベクトル化器などの手動の特徴量エンジニアリングを省略することができます。
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IV. Infringement and Handling Explanation:
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
- 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.