Created
December 22, 2016 21:54
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support for my project. takes the raw twitter json dump, gives geoloc., text, time and sentiment analysis of text.
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| import json | |
| import geojson | |
| import csv | |
| from textblob import TextBlob | |
| #full json dosyası olan tweet datasını geolocation text ve saate çeviren süper bi kod | |
| with open('tweets.json', 'r') as f: | |
| geo_data = { | |
| "type": "FeatureCollection", | |
| "features": [] | |
| } | |
| for line in f: | |
| tweet = json.loads(line) | |
| if tweet['coordinates']: | |
| analysis = TextBlob(tweet['text']) | |
| geo_json_feature = { | |
| #"type": "Feature", | |
| "geometry": tweet['coordinates'], #geoJSON (longitude first, then latitude) | |
| "text": tweet['text'], | |
| "created_at": tweet['created_at'], | |
| "sentiment": analysis.sentiment # (polarity, subjectivity) | |
| } | |
| geo_data['features'].append(geo_json_feature) | |
| # Save geo data | |
| with open('geo_data.json', 'w') as fout: | |
| fout.write(json.dumps(geo_data, indent=4)) | |
| ################## | |
| ## bu da json geolocationı csvye çeviren bişey | |
| # rows = json.loads(geo_data) | |
| # with open('test.csv', 'wb+') as f: | |
| # dict_writer = csv.DictWriter(f, fieldnames=['longitude', 'latitude']) | |
| # dict_writer.writeheader() | |
| # dict_writer.writerows(rows) |
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