Sentiment analysis

To: steelnation69
Date: 2021/05/04 10:33:39

Sentiment analysis
Sentiment analysis that delivers a lot more than just positive or negative valuations with built-in sentiment scoring, topic identification and categorisation.

The purpose of this service would be to extract opinions from text. An impression represents the topic an author is writing about and a sentiment score that classifies how positively or negatively the author feels towards that subject. Deep Linguistic Analysis can be used to identify the subject the author is discussing. This can be:

? an entity (brand/ person/product/place?
? a concept (like ?global warming?, ?public policies? or ?financial crisis?).

The sentiment analysis service may also break the opinion down to detect exactly which features or attributes or elements of the subject are being discussed. For Talee may be the primary components or accessories for example, the ?screen? in ?the screen of the Galaxy Tab? or the ?case? in ?my new iPad case?. For an individual this could be the actions or attitudes associated with them. For a place maybe it's the precise buildings or institutions located there.

When combined with our categorisation service these features or attributes may be used to place the opinion in a category taken from a taxonomy. This provides a robust way to structure a couple of texts in accordance with what topics people are discussing and how they feel about those topics.

Sentiment scores are also based on Deep Linguistic Analysis. The more intense the feelings of the author about the subject, the higher or lower the score. To achieve this, the analysis detects linguistic features including the strength of the vocabulary or the use of intensifiers like ?really?, ?very? or ?extremely?. So a comment like ?Installing software on this machine is painful!? will undoubtedly be scored as less negative than ?Installing software on this machine is really very painful indeed!?

Deep Linguistic Analysis accurately handles complex issues like negation: ?the brand new Nikon is really not bad at all?.

The service handles complex linguistic issues that play a significant role in sentiment analysis, such as negation or comparative sentences. Deep Linguistic Analysis automatically handles this kind of phenomena capturing the difference between opinions like:

? ?This phone is much better than my old phone.? ? Positive

? ?This phone is not superior to my old phone.? ? Negative

The sentiment analysis service is not limited to extracting a single opinion per sentence. It actually detects as many opinions because the sentence contains. For instance in the sentence ?This phone is awesome, but it was way too expensive and the screen isn't big enough? three opinions will be extracted: ?phone? + ?awesome?, ?phone? + ?much too expensive? and ?screen? + ?not big enough?.
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