A sentiment score represents how strongly a word or piece of text expresses favorable, unfavorable, or neutral sentiment. Unlike a simple positive-or-negative label, it preserves the degree of feeling. section 5.6.1 section 6.2.1
Sentiment scores support several practical distinctions:
- A dictionary or lexicon can assign words quantitative scores for positivity, negativity, or neutrality. section 5.6.1
- Intensity analysis separates mild sentiment from strong emotion, helping identify messages that may require urgent attention. section 6.2.1
- Scores can complement aspect-based sentiment analysis, which distinguishes reactions to features such as price, quality, and design. section 6.2.1
From dissatisfaction to priority
A customer message describing intense frustration with a product may receive a strongly negative sentiment score. Combined with intent analysis, that result can flag a possible complaint or cancellation risk for prioritized support. section 6.2.1
