Sentiment of Donald Trump’s Tweets: Positive or Negative?

Monitoring the attitude of your audience is crucial step for any type of social network. From uploading a video on Youtube to posting on Facebook, you are eager to find out how your creation is perceived. Does your panda-colored dog make the world happy or sad? Sentiment analysis is there to help. According to Wikipedia:

Sentiment analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials.

In other words, it is a process of recognizing the level of positive, neutral and negative in your message with the help of computer. In social media, measuring sentiment level is a way to better understand product or brand perception of your customers. However, sentiment analysis is also powerful in politics. 

Below is our analysis of Fortune’s 10 0f Donald Trump’s Most Controversial Tweets“. Check it out:

Screen Shot 2016-03-23 at 3.07.42 PMTweets from http://fortune.com/2016/03/21/donald-trump-controversial-tweets/

On the right side, you can see that 10 tweets are indeed “a little negative”. However, take a closer look at the list of deciding positive words. Can you sense something is not quite right? I do and it is related to the limitations of computers to fully understand human emotions, like irony or humor in text.

So are you happy with Donald Trump’s 10 tweets? Share your thoughts with us on Twitter @twinwordinc using hashtag #trumpsentiment.

Also how about your own investigation? Will President Obama’s tweets result “POSITIVE”? Paste the text and click “Tone Analyzer” button on the right. 

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