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Sentiment analysis
As a key component of Natural Language analysis, TMT Sentiment Analysis determines the attitude of each user. Beyond the obvious “likes” or positive or negative comments, marketers can harness the power of sentiment or opinion recognition to measure the success of a social campaign, identify recurring product issues, detect quality of resolutions, analyze the context behind entire conversations or even identify competitive offers that are compelling to fans.
For each message, we analyze both the sentiment and the opinion. A sentiment is linked to an emotion while the opinion to a feature or a person.
Example : I love my Ipad but the price is too expensive will generate 2 paths with different scores
| Topic | Vertical | Category | Polarity | Emotion / Feature |
| Ipad | High Tech | Sentiment | Positive | Joy |
| Ipad | High Tech | Opinion |
Negative | Price |
Don't hesitate to contact us to organize a test using your data to see what our Sentiment Analysis / Opining Mining API can do for you!
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