Sentiment Analyzer guide
Estimate the positive, neutral, or negative tone of English text using an explainable local lexicon check.
What this tool does
The Sentiment Analyzer breaks English text into words and compares them with a curated set of positive and negative terms. It also checks nearby negators such as “not” and simple intensifiers such as “very.” The final score is normalized to a range from -100 to +100, and the matched evidence is displayed so you can understand why a label was assigned.
Unlike a remote generative service, the result comes from fixed rules running inside the browser. This makes the same input repeatable and keeps the text on the current device. It also creates clear limitations: the tool does not reliably understand sarcasm, humor, implied meaning, mixed languages, specialist terminology, or the broader situation around a sentence.
A neutral result can mean the passage contains balanced positive and negative evidence, or that very few listed sentiment terms were found. Read the matched-word panels before interpreting the number.
How to use it
- Paste an English review, comment, support message, or short passage.
- Select Analyze sentiment.
- Review the overall label and numeric score.
- Check which words contributed positive and negative evidence.
- Compare the result with the original context before acting on it.
Long documents often contain several topics and tones. Analyze relevant sections separately when you need to identify where tone changes. Retain punctuation and normal sentence order so a human reviewer can compare the output with the source easily.
Benefits
- Produces a repeatable score from -100 to +100
- Shows the matched words behind the result
- Handles selected nearby negation and emphasis
- States its English-language and context limitations
- Keeps potentially private text on the device
Responsible interpretation
Sentiment is not the same as intent, truthfulness, satisfaction, mental state, or risk. A negative support message may describe a serious product problem, while a positive phrase may be sarcastic. Do not use this score by itself for employment, healthcare, credit, education, moderation penalties, or any other decision that significantly affects a person.
For customer feedback, use the result as an initial sorting signal and have a person review the original text. For writing, it can highlight emotionally loaded vocabulary, but the author remains responsible for whether the tone suits the audience.
Practical notice: This output is a limited language signal, not professional advice or a reliable assessment of a person. Important decisions require appropriate human review.