Our demo service uses generic models trained on real user's comments, product, service opinions. In order to get specific results that are tailored to your domain, please consider training your own sentiment model.
Please enter your text in english* for analysis or leave default one.
(3) the typical and symbolic features of car front-end styling play an important role of identification guiding, enabling the effective establishment of visual information channel between working memory and long-term memory, so due attention should be paid to their design; (4) due to the actions of binding mechanism and Gestalt psychology, the generation of the sense of beauty more depends on the overall effect of car styling.
This document is:
neutral (-0.12)
Magnitude: 0.52
Subjectivity: subjective
Subjectivity: subjective
Score Range
negative neutralpositive
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| Core sentences | Magnitude | Sentiment Score |
|---|---|---|
| 3 the typical and symbolic features of car front end styling play an important role of identification guiding enabling the effective establishment of visual information channel between working memory and long term memory so due attention should be paid to their design 4 due to the actions of binding mechanism and Gestalt psychology the generation of the sense of beauty more depends on the overall effect of car styling. | 0.52 | -0.120 |
Auto categories [IAB QAG taxonomy]
| Category | Score |
|---|---|
| Shopping/ Children's Games & Toys | 0.344 |
| Hotels and Motels | 0.131 |
| Books & Literature | 0.111 |
No user categories detected
About analysis
- Once analysis is finished, you will see the overall score for the document and extracted thematic concepts, entities, keyword phrases, auto categories..
- In longer documents, entity/theme sentiment is in general more useful.
- The better input text is formatted (properly placed commas, spaces between sentences etc.), the faster and more accurate analysis will be returned.
- Twitter mode is usually more accurate for short, unformatted contents. Includes irony, slang and abbreviation detection. In this mode additional text cleaning is performed, inluding removal of usernames (starting from @), links, numbers and special characters. Hashtags are being left for analysis.
- Magnitude is the volume of sentiment expressed regardless of sentiment polarity, it can be used to detect strength of emotions or fine-tune sentiment polarity. It ranges from 0 to ∞.
