洞察纵观鸿蒙next版本,如何凭借FinClip加强小程序的跨平台管理,确保企业在数字化转型中的高效运营和数据安全?
864
2022-09-04
Wine Reviews(葡萄酒评论相关数据集)
原文:
Wine Reviews
130k wine reviews with variety, location, winery, price, and description
After watching Somm (a documentary on master sommeliers) I wondered how I could create a predictive model to identify wines through blind tasting like a master sommelier would. The first step in this journey was gathering some data to train a model. I plan to use deep learning to predict the wine variety using words in the description/review. The model still won't be able to taste the wine, but theoretically it could identify the wine based on a description that a sommelier could give. If anyone has any ideas on how to accomplish this, please post them!
This dataset contains three files:
winemag-data-130k-v2.csv contains 10 columns and 130k rows of wine reviews.winemag-data_first150k.csv contains 10 columns and 150k rows of wine reviews.winemag-data-130k-v2.json contains 6919 nodes of wine reviews.
Click on the data tab to see individual file descriptions, column-level metadata and summary statistics.
译:
葡萄酒评论
130k葡萄酒评论,包括品种、位置、酒庄、价格和描述
在看了Somm(一部关于大师侍酒师的纪录片)之后,我想知道如何创建一个预测模型,通过盲品来识别葡萄酒,就像一个大师级的侍酒师一样。这个旅程的第一步是收集一些数据来训练模型。我计划用深入的学习来预测葡萄酒的品种,在描述/评论中使用单词。该模型仍然无法品尝葡萄酒,但理论上它可以根据品酒师的描述来识别葡萄酒。如果有人对如何做到这一点有任何想法,请发表他们!
此数据集包含三个文件:
winemag-data-130k-v2.csv包含10列和130k行葡萄酒评论。winemag-data_first150k.csv包含10列和15万行葡萄酒评论。winemag-data-130k-v2.json包含6919个葡萄酒评论节点。
单击“数据”选项卡以查看单个文件说明、列级元数据和摘要统计信息。
版权声明:本文内容由网络用户投稿,版权归原作者所有,本站不拥有其著作权,亦不承担相应法律责任。如果您发现本站中有涉嫌抄袭或描述失实的内容,请联系我们jiasou666@gmail.com 处理,核实后本网站将在24小时内删除侵权内容。
发表评论
暂时没有评论,来抢沙发吧~