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alexkeeney766 / Analyzing-Climate-Change-Sentiment-Through-Twitter-Data

This project seeks to understand - and visualize - Americans' views of climate change as seen through the lens of twitter. As such, this package contains all the resources that were used as we explored different means to classify climate change tweets.
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Missing files #1

Open ghost opened 4 years ago

ghost commented 4 years ago

Hi,

Hope you are all well !

Could not find the shell scripts mentioned in the README ? Any reason why ? https://github.com/alexkeeney766/Analyzing-Climate-Change-Sentiment-Through-Twitter-Data#1-running-the-scrapers

Thanks for your inputs and insights

Cheers, X

alexkeeney766 commented 4 years ago

X,

Hi there, sorry about that, it was an oversight on my part but they’re up now. Hope you enjoy it!

If you’re really interested in the subject I highly subject checking out: https://huggingface.co

Also, I found this guide helpful when I was wading through the sea of information out there on transfer learning: https://towardsdatascience.com/best-practices-for-nlp-classification-in-tensorflow-2-0-a5a3d43b7b73

Best,

Alex Keeney Masters Student at Georgia Institute of Technology Phone: (813) 995-5980

From: x0rzkov notifications@github.com Reply-To: alexkeeney766/Analyzing-Climate-Change-Sentiment-Through-Twitter-Data reply@reply.github.com Date: Thursday, January 23, 2020 at 12:29 AM To: alexkeeney766/Analyzing-Climate-Change-Sentiment-Through-Twitter-Data Analyzing-Climate-Change-Sentiment-Through-Twitter-Data@noreply.github.com Cc: Subscribed subscribed@noreply.github.com Subject: [alexkeeney766/Analyzing-Climate-Change-Sentiment-Through-Twitter-Data] Missing files (#1)

Hi,

Hope you are all well !

Could not find the shell scripts mentioned in the README ? Any reason why ? https://github.com/alexkeeney766/Analyzing-Climate-Change-Sentiment-Through-Twitter-Data#1-running-the-scrapers

Thanks for your inputs and insights

Cheers, X

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ghost commented 4 years ago

Thanks for your reply and insights !

Shall I run the twint scripts from the root folder of the repository or inside ./twitter_scrapers

What is the sequence to gather, train data ? do you mind to create a little bash script for that ? or just to explain the sequence here.