Twitter Sentiment Analysis with R | Slush Helsinki 2016

Slush, Europe’s leading startup event was held in Helsinki on November 30–December 1. With 15 000 attendees, 1500 startups and 800 investors, the event caused a clear spike in tweet numbers of @SlushHQ:

presentation1

As expected, the account has been the most active during the events around the globe. However, for some reason Slush Shanghai didn’t show as a spike in Twitter Statistics. In total, 672 tweets from @SlushHQ during the event. More than 70 per cent were positive:

polarity

emotions

Out those 672 tweets, 234 could be categorized with emotion. The scale of emotions was wide, but Slush appeared to be a joyful gathering.

 

polarityxemotion

The word cloud of the most frequent words appearing in the tweets during Slush Helsinki 2016 event:

slush2016_wordcloud

 

 

 

 

Data available as CSV. slushhq_cleaned, R code: slush,

Tools and Guides Used:

  1. https://github.com/tweepy/tweepy
  2. https://gist.github.com/yanofsky/5436496
  3. http://thinktostart.com/sentiment-analysis-on-twitter-with-datumbox-api/
  4. https://www.r-bloggers.com/intro-to-text-analysis-with-r/

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