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Text2Data analysis allows you to enter text and get it analyzed for sentiment scores.
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- 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 ∞.
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