Sentiment from a text
What this tool does
This tool analyzes the emotional tone of English text, including emojis, to determine if the sentiment is positive, negative, or neutral. It calculates a score based on a specific word list and emoji ratings to help improve customer care services by automatically analyzing emails or chats.
Please note that the results are based on a simple word-matching approach rather than deep artificial intelligence. The output may not fully capture sarcasm, complex context, or idioms. Additionally, the tool is designed for English text only.
Common uses
- Quickly sorting customer feedback emails to identify urgent negative messages.
- Checking the general mood of short chat messages or social media comments.
- Filtering text content for basic positivity or negativity trends.
Input data
| Parameter | Required | Example | Description |
|---|---|---|---|
text | Yes | I am very happy | Enter the English sentence or paragraph you want to analyze (e.g., 'I am very happy'). This field is required. |
Output data
| Field | Description |
|---|---|
level | A descriptive category for the sentiment, such as 'verynegative', 'negative', 'neutral', 'positive', or 'verypositive'. Example: 'positive'. |
score | A number between -5 (very negative) and 5 (very positive) representing the average sentiment per word. Example: 2.3. |