wslc1314 / TextSentimentClassification

TextSentimentClassification, using tensorflow.
MIT License
15 stars 13 forks source link

data #1

Open helloWVV opened 6 years ago

helloWVV commented 6 years ago

Hello,there is no data

wslc1314 commented 6 years ago

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

helloWVV commented 6 years ago

Thanks!

helloWVV commented 6 years ago

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

------------------ 原始邮件 ------------------ 发件人: "chenlee"notifications@github.com; 发送时间: 2018年4月17日(星期二) 中午12:31 收件人: "wslc1314/TextSentimentClassification"TextSentimentClassification@noreply.github.com; 抄送: "王国薇"595277869@qq.com; "Author"author@noreply.github.com; 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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wslc1314 commented 6 years ago

OK. Please send me your email address.

helloWVV commented 6 years ago

595277869@qq.com thank you very much!

------------------ 原始邮件 ------------------ 发件人: "chenlee"notifications@github.com; 发送时间: 2018年4月17日(星期二) 晚上10:52 收件人: "wslc1314/TextSentimentClassification"TextSentimentClassification@noreply.github.com; 抄送: "王国薇"595277869@qq.com; "Author"author@noreply.github.com; 主题: Re: [wslc1314/TextSentimentClassification] data (#1)

OK. Please send me your email address.

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helloWVV commented 6 years ago

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

------------------ 原始邮件 ------------------ 发件人: "chenlee"notifications@github.com; 发送时间: 2018年4月17日(星期二) 晚上10:52 收件人: "wslc1314/TextSentimentClassification"TextSentimentClassification@noreply.github.com; 抄送: "王国薇"595277869@qq.com; "Author"author@noreply.github.com; 主题: Re: [wslc1314/TextSentimentClassification] data (#1)

OK. Please send me your email address.

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wslc1314 commented 6 years ago

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.

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