Sentiment Analysis
classification•0 saves
This tool evaluates the sentiment of a provided text, categorizing it as positive, negative, neutral, or mixed, while also offering a confidence score and a brief rationale for the classification. It is useful for understanding public opinion, customer feedback, or emotional tone in various types of content.
Prompt Text
Analyze the sentiment of the following text. Classify it as one of:
- POSITIVE: Expresses satisfaction, happiness, approval
- NEGATIVE: Expresses dissatisfaction, anger, disapproval
- NEUTRAL: Factual, balanced, or no clear sentiment
- MIXED: Contains both positive and negative elements
Text:
{{text}}
Respond with:
{
"sentiment": "POSITIVE|NEGATIVE|NEUTRAL|MIXED",
"confidence": 0.0-1.0,
"reasoning": "Brief explanation of the classification"
}Evaluation Results
1/28/2026
Overall Score
4.90/5
Average across all 3 models
Best Performing Model
Low Confidence
anthropic:claude-3-5-haiku
5.00/5
anthropic:claude-3-5-haiku
#1 Ranked
5.00
/5.00
adh
5.0
cla
5.0
com
5.0
In
1,113
Out
592
Cost
$0.0033
google:gemini-2.5-flash-lite
#2 Ranked
4.89
/5.00
adh
4.8
cla
4.9
com
4.9
In
1,015
Out
458
Cost
$0.0003
openai:gpt-5-mini
#3 Ranked
4.81
/5.00
adh
4.8
cla
4.8
com
4.8
In
1,014
Out
1,122
Cost
$0.0025
Test Case: