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kaggle-ho-033175House Oversight

Sentiment analysis of 3.1M tweets on 2016 US election candidates

Sentiment analysis of 3.1M tweets on 2016 US election candidates The passage provides basic social media sentiment percentages and projected winning chances, but contains no actionable leads, names of influential actors beyond publicly known candidates, nor any novel or controversial information. Key insights: Processed 3.1 million tweets related to the 2016 election debate period; Donald Trump sentiment: 11.8% positive, 15.66% neutral, 72.54% negative; Hillary Clinton sentiment: 40.7% positive, 19.09% neutral, 40.21% negative

Date
Unknown
Source
House Oversight
Reference
kaggle-ho-033175
Pages
1
Persons
0
Integrity
No Hash Available

Summary

Sentiment analysis of 3.1M tweets on 2016 US election candidates The passage provides basic social media sentiment percentages and projected winning chances, but contains no actionable leads, names of influential actors beyond publicly known candidates, nor any novel or controversial information. Key insights: Processed 3.1 million tweets related to the 2016 election debate period; Donald Trump sentiment: 11.8% positive, 15.66% neutral, 72.54% negative; Hillary Clinton sentiment: 40.7% positive, 19.09% neutral, 40.21% negative

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kagglehouse-oversightelectionsocial-mediasentiment-analysispublic-opinion
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