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.
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.
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.
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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
Get in touch today and understand your data like never before.