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mmcs-ruby / sentiment

MIT License
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Create list of special words with strong emotions #7

Open EternalDebug opened 3 years ago

EternalDebug commented 3 years ago

We can combine more progressive algorithms of sentiment analysis with simple ones. For example, people can use words with very strong negative emotions. Sometimes, this singular words can give us more information about speaker, than large positive texts. At this step we must:

  1. Find the most disturbing, agressive, depressive and dark words, that we can use in our speech.
  2. Make simple list of this words with emotional markers
okrieso commented 3 years ago

I take it (2)