PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\Practical Machine Learning, Twitter-API & Map Visualization\6. Use the Sentiment Model we created

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1. Introduction and loading the tweets.mp4118,939 KB12/12/2021 3:34 AM
1. Introduction and loading the tweets.srt9 KB12/12/2021 3:34 AM
10. Code CSV data format and the data.html4 KB12/12/2021 3:34 AM
10.1 ProcessTwitterDump.py4 KB12/12/2021 3:34 AM
11. Process the data.mp4130,146 KB12/12/2021 3:34 AM
11. Process the data.srt11 KB12/12/2021 3:34 AM
11.1 httpsdocs.python.org3librarycsv.html.html1 KB12/12/2021 3:34 AM
12. Code Process the data.html4 KB12/12/2021 3:34 AM
12.1 ProcessTwitterDump.py4 KB12/12/2021 3:34 AM
2. Code Loading the tweets.html3 KB12/12/2021 3:34 AM
2.1 tweets_with_python.json98,274 KB12/12/2021 3:34 AM
2.2 ProcessTwitterDump.py2 KB12/12/2021 3:34 AM
2.3 tweets_with_java.json74,211 KB12/12/2021 3:34 AM
3. Let's try the mood.mp4143,788 KB12/12/2021 3:34 AM
3. Let's try the mood.srt12 KB12/12/2021 3:34 AM
3.1 httpsdeveloper.twitter.comendocstwitter-apiv1data-dictionaryoverviewtweet-object.html1 KB12/12/2021 3:34 AM
4. Code Let's try the mood.html3 KB12/12/2021 3:34 AM
4.1 ProcessTwitterDump.py3 KB12/12/2021 3:34 AM
5. The mood of Java and Python.mp4139,088 KB12/12/2021 3:34 AM
5. The mood of Java and Python.srt11 KB12/12/2021 3:34 AM
6. Code The mood of Java and Python.html3 KB12/12/2021 3:34 AM
6.1 ProcessTwitterDump.py3 KB12/12/2021 3:34 AM
7. Get the locations of tweets.mp4130,294 KB12/12/2021 3:34 AM
7. Get the locations of tweets.srt10 KB12/12/2021 3:34 AM
7.1 httpsgeopy.readthedocs.ioenstable.html1 KB12/12/2021 3:34 AM
7.2 httpsdeveloper.twitter.comendocstwitter-apiv1data-dictionaryoverviewtweet-object.html1 KB12/12/2021 3:34 AM
8. Code Get the locations of tweets.html4 KB12/12/2021 3:34 AM
8.1 ProcessTwitterDump.py4 KB12/12/2021 3:34 AM
9. CSV data format and the data.mp4108,293 KB12/12/2021 3:34 AM
9. CSV data format and the data.srt8 KB12/12/2021 3:34 AM
9.1 httpsgeopy.readthedocs.ioenstable.html1 KB12/12/2021 3:34 AM