Aspect based sentiment analysis api

Extract fine-grained opinion insights tailored for your industry and use case

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Who's behind this text?

Language: English
Tonality: positive
Emotion: joy
Personality trait: rational

WHAT IS ASPECT BASED SENTIMENT ANALYSIS?

Aspect Based Sentiment Analysis is a compact text analytics solution that helps you to receive structured and detailed insights out of your textual data.
It discovers topics mentioned in the text, attributes each topic with a topic category, and finally extracts sentiment expressed towards these topics.

Unique Features​

Topic-level Sentiment Analysis:
While text-level sentiment analysis gauges the overall sentiment of the entire text, Topic-level sentiment provides fine-grained information on the author’s attitude towards a specific topic, such as a product, feature, or service aspect.

Industry-specific Models​:
Select one of the available industry models to extract most relevant topics with industry-specific category and increase sentiment accuracy with model fine-tuned to the use case.

Supported Industry Models for our Aspect Based Sentiment Analysis API

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EMPOWER YOUR SOLUTION WITH ASPECT BASED SENTIMENT

Leverage Topic Sentiment Extraction via Symanto API to extract precise and structured insights from text

Automated review analysis:
Extract customer opinions and pain points from reviews, complaints, NPS survey and more

Empower Survey Platform:
Add value to survey solution by extracting structured opinion insights from unstructured open ends

Advance Social Listening:
Glean fine-grained opinion insights towards brands and products from online conversations

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