Postiz vs Sonar

Sonar pulls social conversations automatically and applies NLP to judge whether each piece of text reads positive, negative or neutral.

Machine learning groups unstructured mentions into themes and topic groups, so large volumes of chatter collapse into a readable set of issues.

The engine analyses meaning rather than exact keywords, picking up paraphrases, slang and context that simple keyword monitoring misses.

Topics and sentiment are organised so brands can see which conversations matter and where opinion is shifting over time.