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data

Open helloWVV opened this issue 6 years ago • 13 comments

Hello,there is no data

helloWVV avatar Apr 17 '18 02:04 helloWVV

Hello, you can download data from https://www.kaggle.com/c/ml-2017fall-hw4/data.

wslc1314 avatar Apr 17 '18 04:04 wslc1314

Thanks!

helloWVV avatar Apr 17 '18 06:04 helloWVV

Can you share your data with me? I can not download the data.

------------------ 原始邮件 ------------------ 发件人: "chenlee"[email protected]; 发送时间: 2018年4月17日(星期二) 中午12:31 收件人: "wslc1314/TextSentimentClassification"[email protected]; 抄送: "王国薇"[email protected]; "Author"[email protected]; 主题: Re: [wslc1314/TextSentimentClassification] data (#1)

Hello, you can download data from https://www.kaggle.com/c/ml-2017fall-hw4/data.

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helloWVV avatar Apr 17 '18 14:04 helloWVV

OK. Please send me your email address.

wslc1314 avatar Apr 17 '18 14:04 wslc1314

[email protected] thank you very much!

------------------ 原始邮件 ------------------ 发件人: "chenlee"[email protected]; 发送时间: 2018年4月17日(星期二) 晚上10:52 收件人: "wslc1314/TextSentimentClassification"[email protected]; 抄送: "王国薇"[email protected]; "Author"[email protected]; 主题: Re: [wslc1314/TextSentimentClassification] data (#1)

OK. Please send me your email address.

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helloWVV avatar Apr 18 '18 02:04 helloWVV

No such file or directory: 'data_helpers/dataset/training_v2i.json'

------------------ 原始邮件 ------------------ 发件人: "chenlee"[email protected]; 发送时间: 2018年4月17日(星期二) 晚上10:52 收件人: "wslc1314/TextSentimentClassification"[email protected]; 抄送: "王国薇"[email protected]; "Author"[email protected]; 主题: Re: [wslc1314/TextSentimentClassification] data (#1)

OK. Please send me your email address.

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helloWVV avatar Apr 18 '18 04:04 helloWVV

You need to run data_helpers/data_preprocessing.py first to get new data. By the way, data_helpers/data_analysis.py used for analyzing new data after preprocessing, and data_helpers/wv_generation.py used for generating word2vec word vectors and other related files. About GloVe word vectors, you need to get it by downloading GloVe and do as it is needed. After generation, you can use data_helpers/wv_evaluation.py to evaluate word vectors by analogical problem. And then you should use data_helpers/utils.py to generate all the dicts that you ask for.

wslc1314 avatar Apr 18 '18 04:04 wslc1314

[email protected] thank you very much!

joejiafeng avatar Jun 06 '18 09:06 joejiafeng

[email protected] thank you very much!

threestoneHuang avatar Jul 25 '18 10:07 threestoneHuang

[email protected] thank you very much!

sishierfei avatar Aug 28 '18 04:08 sishierfei

[email protected] thank you very much!

sduchh avatar Dec 13 '18 08:12 sduchh

[email protected] thank you very much.

mehrazi avatar May 04 '20 13:05 mehrazi

[email protected] thank you very much.

lili1234567890 avatar Jul 22 '20 08:07 lili1234567890