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 |
||
|
NO |
YES |
YES |
NO |
||
|
YES (limited to 200 lines) |
NO |
NO |
YES |
||
|
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!
