Open Dataset
Data Structure ?
6.95M
Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
関連論文:
ナディーン・ハッジ、ヤラ・リズク、マリエット・アワド、「皮質アルゴリズムを用いた特徴選択によるスポーツ記事の主観性分類フレームワーク」、スプリンガー社 『ニューラルコンピューティングと応用』、2018年(掲載決定)。
ヤラ・リズク、マリエット・アワド、「スポーツ記事の主観性分析のための構文遺伝的アルゴリズム」、第〇回サイバネティック知能システム国際会議、アイルランドのリマリック、2012年。
特徴:
引用符 記事全体における引用符のペアの出現頻度
疑問符 記事全体における疑問符の出現頻度
感嘆符 記事全体における感嘆符の出現頻度
句点 句点の出現頻度
読点 読点の出現頻度
セミコロン セミコロンの出現頻度
コロン コロンの出現頻度
省略記号 省略記号の出現頻度
一人称代名詞 一人称代名詞(人称代名詞と所有代名詞)の出現頻度
二人称代名詞 二人称代名詞(人称代名詞と所有代名詞)の出現頻度
三人称代名詞 三人称代名詞(人称代名詞と所有代名詞)の出現頻度
比較級と最上級の形容詞および副詞 比較級と最上級の形容詞および副詞の出現頻度
過去形 一人称および二人称代名詞を伴う過去形動詞の出現頻度
命令形 命令形動詞の出現頻度
三人称現在形 三人称代名詞を伴う現在形動詞の出現頻度
一人称と二人称現在形 一人称および二人称代名詞を伴う現在形動詞の出現頻度
最初の文クラス 最初の文のクラス
最後の文クラス 最後の文のクラス
テキストの複雑度 テキストの複雑度スコア
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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.