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Entities
PII
Sentiment
Keywords
Summary
The entities extracted from the text (grouped by type) are:
The Personal Identifiable Information (PII) items extracted from the text (grouped by type) are:
Sentiment analysis is currently only supported in English.
| Polarity | Subjectivity |
| Overall Document Score | 999 | 999 |
You also get a score for each sentence that contains a sentiment |
Sentiment is broken down into two different parts - polarity and subjectivity.
Polarity / Sentiment
Polarity refers to the overall sentiment conveyed by a particular text, phrase or word.
The polarity score is expressed as a numerical rating known as a “sentiment score”. The score is a number between -1 (very negative) and 1 (very positive) with 0 representing neutral sentiment.
Subjectivity
Subjectivity quantifies the amount of personal opinion and factual information contained in the text.
A higher subjectivity means that the text contains personal opinion rather than factual information. Subjectivity scores range from 0 to 1 with scores nearer to 0 being less subjective and scores nearer to 1 being more subjective.
The top scoring keywords are:
This extractive summary extracts the top three most important sentences from the text by ranking each sentence in terms of importance and selecting the top three from the block of text.
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