Topic based sentiment is the application of sentiment analysis on a list of specific topics that are known ahead of time.
By restricting the scope of sentiment analysis to only specific topics, higher levels of precision, accuracy and insight can be achieved. Real-world text isn’t always clean cut and straight-forward; often multiple topics are mentioned in one document with a mix of sentiment. Applying document-level sentiment in such a situation can lead to a loss of nuance and missed insight. Use topic based sentiment analysis when it is known ahead of time which topics sentiment is required for.
Repustate’s topic based sentiment isolates the sentiment for each topic and ensures that no nuance is lost. For each specific topic found in the text, Repustate calculates the sentiment and returns the numerical sentiment score. When done across a large dataset, insights quickly surface and sentiments are unlocked for each topic of interest. Topic based sentiment analysis is the ideal way to analyze sentiment when desired topics are known ahead of time.