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Working alongside Receptiviti, a psychology-based data collection company, we dissected the personalities behind the tweets of president-elect, Donald Trump. Discover how OSINT (open source intelligence) technologies can masterfully harvest data and profile online content.
Problem
Donald Trump is known for frequently tweeting controversial statements. However, how can we tell which of these tweets come from Trump’s staff and which come from the presidential candidate himself? Presented with this dilemma, BrightPlanet teamed up with Receptiviti to demonstrate the capabilities of open source intelligence tools in uncovering personality profiles.
Technical Challenge
In order to identify the source of the tweets, we had to analyze the language used in the tweets and compare it with Trump’s speech transcripts. With the data harvest provided by BrightPlanet, Receptiviti would then need to provide an emotional intelligence analysis of both tweets and the transcripts. In order to accomplish this, Receptiviti considered:
- Which phone the tweets were published from, as there were tweets from both an Android and an iPhone.
- Frequent words used in each tweet and their level of simplicity.
- The transcripts and tweets of his top political staffers.
BrightPlanet Methodology
BrightPlanet serves to harvest the maximum quantity of Deep Web data for its clients. Our Data Acquisition Engineers harvested and curated the data from the Twitter account and transcripts. After Receptiviti created personality profiles for the Android and iPhone users, BrightPlanet’s 3,200 harvested tweets were funneled into a Random Forest machine learning model to classify the tweets. After classification, Receptiviti compares the tweets to the Trump transcripts.
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