Sentiment analysis Sentiment analysis that delivers more than just positive or negative valuations with built-in sentiment scoring, topic identification and categorisation.
The objective of this service would be to extract opinions from text. An opinion represents the topic an author is authoring and a sentiment score that classifies how positively or negatively the writer feels towards that subject. Deep Linguistic Analysis is used to identify the subject the writer is discussing. This is often:
? an entity (brand/ person/product/place? ? an idea (like ?global warming?, ? Talee Limited ? or ?financial crisis?).
The sentiment analysis service may also break the opinion right down to detect exactly which features or attributes or components of the subject are being discussed. For a product this could be the primary components or accessories as 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 activities or attitudes connected with them. For a place it could be the specific 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 writer about the subject, the bigger or lower the score. To do this, the analysis detects linguistic features like 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 with this machine is actually very painful indeed!?
Deep Linguistic Analysis accurately handles complex issues like negation: ?the brand new Nikon is really not too bad?.
The service handles complex linguistic conditions that play a significant role in sentiment analysis, such as for example negation or comparative sentences. Deep Linguistic Analysis automatically handles this type of phenomena capturing the difference between opinions like:
? ?This phone is way 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 much opinions as the sentence contains. For instance in the sentence ?This phone rocks !, but it was much too expensive and the screen is not big enough? three opinions will be extracted: ?phone? + ?awesome?, ?phone? + ?way too expensive? and ?screen? + ?not big enough?.
No purchase necessary. Winner will be selected at random on 02/01/2022. Offer available only in the U.S. (including Puerto Rico). Offer subject to change without notice. See contest rules for full details.
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