我尝试在本地配置此存储库当我尝试执行此命令时python feature_extraction.py -t 1 [-nlon] -i mairesse_Apache.arff,我了解到需要一个更精细的命名结果这是我用于测试的 mailcorpus.json 文件:[ { "id":12, "mailing_list_url":"12", "type_of_recipient":"From", "email_address":"test@test.org", "message_body":"Here is one text to test sentiment and feel happy", "is_response_of":"before" }, { "id":21, "mailing_list_url":"21", "type_of_recipient":"From", "email_address":"test@gmail.com", "message_body":"Here is one text to test sentiment and feel happy and feel fine", "is_response_of":"before" }, { "id":21, "mailing_list_url":"23", "type_of_recipient":"From", "email_address":"23@gmail.com", "message_body":"Not feel so good for this code", "is_response_of":"after" }]存储库中有一个名为骨架的示例,并且具有此结构[ { "id_test": "uid", "time": "mm:ss", "email": "email@ddress\t", "extraversion": 1.0, "coscientiousness": 2.0, "agreeableness": 3.0, "openness": 4.0, "neuroticism": 5.0 }, ...]是否知道如何为我的 mailcorpus.json 文件接收此结果文件?
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ITMISS
TA贡献1871条经验 获得超8个赞
您的链接中提供的存储库似乎不是供公众使用的。您列出的文件示例实际上不是输出,而是输入(并且存储库中没有用于转储 json 的代码)。我不希望您能够运行代码。
In the data/ folder, you will also find:
the training_data.rda model from the NLoN R package;
the skeleton of the json that will contain the responses from the mini-IPIP test taken by your subjects.
在这种情况下,您可能需要自己管理 mini-IPIP 测试。
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