Comparing 3 free tools for sentiment analysis on Twitter

Umigon is a free tool for sentiment analysis on Twitter. There are already 2 outstanding free solutions for sentiment analysis out there, so you might wonder why Umigon was worth the effort.

I compare these 3 solutions in terms of 4 features (the 2 columns on the right are the most crucial)

   

Free to use for free text

Connected to Twitter

Works well with natural language (smileys, misspelled words, bad syntax)

Distinguishes between negative facts and negative sentiments

Sentiment140.com

 

NO

YES

YES

NO

Sentiment Analysis at Stanford

 

YES (limited to 200 lines)

  NO

NO

YES

Umigon

 

YES

YES

YES

YES

This is why Umigon can be useful:

– a tool that works well even on text with awful syntax (tweets!)

AND

– which makes a distinction between bad sentiment (“I hate war” -> negative sentiment) and sad facts (“War in Syria” -> neutral sentiment).

Next steps: offer an API, and continue researching on the detection of other semantic features of interest. Umigon already includes one: the detection of promoted discourse in tweets. Watch this space of follow me @seinecle for news!

 

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