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@@ -179,3 +179,9 @@ downloads | |
processed | ||
untarred | ||
countries | ||
en_filtered | ||
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all_text.txt | ||
*.json | ||
*.pkl | ||
untarred_failed.txt |
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import json | ||
import os | ||
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||
if __name__ == '__main__': | ||
countries = {} | ||
with open('all_with_sentiments.json') as f: | ||
tweets = json.load(f) | ||
for tweet in tweets: | ||
if tweet['country_code'] not in countries: | ||
countries[tweet['country_code']] = [] | ||
countries[tweet['country_code']].append(tweet) | ||
with open('all_by_countries.json', 'w') as f: | ||
json.dump(countries, f) |
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(* Content-type: application/vnd.wolfram.mathematica *) | ||
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(*** Wolfram Notebook File ***) | ||
(* http://www.wolfram.com/nb *) | ||
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(* CreatedBy='WolframDesktop 12.0' *) | ||
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(*CacheID: 234*) | ||
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WindowFrame->Normal*) | ||
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(* Beginning of Notebook Content *) | ||
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|
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#!/usr/bin/env wolframscript | ||
tweets = Import["all.json", "RawJSON"]; | ||
getSentiment := Classify["Sentiment", #[["text"]], "Probabilities"] &; | ||
sentiments = getSentiment /@ tweets; | ||
Export["sentiments.json", sentiments]; |
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@@ -0,0 +1,12 @@ | ||
import json | ||
import progressbar | ||
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if __name__ == '__main__': | ||
with open('all.json') as f: | ||
tweets = json.load(f) | ||
with open('sentiments.json') as f: | ||
sentiments = json.load(f) | ||
for i in progressbar.progressbar(range(len(tweets))): | ||
tweets[i]['sentiment'] = sentiments[i] | ||
with open('all_with_sentiments.json', 'w') as f: | ||
json.dump(tweets, f) |
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@@ -0,0 +1,43 @@ | ||
(* Content-type: application/vnd.wolfram.mathematica *) | ||
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||
(*** Wolfram Notebook File ***) | ||
(* http://www.wolfram.com/nb *) | ||
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||
(* CreatedBy='WolframDesktop 12.0' *) | ||
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(*CacheID: 234*) | ||
(* Internal cache information: | ||
NotebookFileLineBreakTest | ||
NotebookFileLineBreakTest | ||
NotebookDataPosition[ 161, 7] | ||
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NotebookOptionsPosition[ 564, 21] | ||
NotebookOutlinePosition[ 903, 36] | ||
CellTagsIndexPosition[ 860, 33] | ||
WindowFrame->Normal*) | ||
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(* Beginning of Notebook Content *) | ||
Notebook[{ | ||
}, | ||
WindowSize->{808, 911}, | ||
WindowMargins->{{Automatic, 866}, {Automatic, 23}}, | ||
FrontEndVersion->"12.0 for Mac OS X x86 (64-bit) (April 11, 2019)", | ||
StyleDefinitions->"Default.nb" | ||
] | ||
(* End of Notebook Content *) | ||
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(* End of internal cache information *) | ||
|
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,27 @@ | ||
import re | ||
import json | ||
import progressbar | ||
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||
def filter_text(s): | ||
# delete all the emoji (and any non ascii characters) | ||
s = re.sub(r'[^\x00-\x7F]', '', s) | ||
# remove all the @ | ||
s = re.sub(r'@[^\s]+', '', s) | ||
# remove all the # | ||
s = re.sub(r'#[^\s]+', '', s) | ||
# remove all the links | ||
s = re.sub(r'https://[^s]+', '', s) | ||
s = re.sub(r'http://[^s]+', '', s) | ||
return s | ||
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||
|
||
if __name__ == '__main__': | ||
|
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with open('all.json') as f: | ||
tweets = json.load(f) | ||
with progressbar.ProgressBar(max_value=len(tweets)) as bar: | ||
for i, tweet in enumerate(tweets): | ||
tweet['text'] = filter_text(tweet['text']) | ||
bar.update(i) | ||
with open('all_text_filtered.json', 'w') as f: | ||
json.dump(tweets, f) |