Semantria
Turn unstructured content into actionable insights
This API is best for sentiment analysis, text classification, and named entity recognition.
A developer would use Semantria API to extract valuable insights from unstructured text data. This API can be used for analyzing customer feedback and social media data to uncover sentiment and trending topics, perform competitive analysis and brand monitoring. It can also be used in industries such as finance and healthcare for regulatory compliance monitoring or in media for content analysis and recommendation.
Key features
- Real-time analysis
- Multi-language support
- Advanced sentiment analysis
- Custom classification models
- Topic modeling
Potential use cases
- Social Media Monitoring: A company can use Semantria API to analyze social media data to understand customer sentiment, trending topics, and brand perception.
- News Categorization: A news aggregator can use Semantria API to categorize and tag news articles based on their content for more effective distribution and recommendation.
- Product Review Analysis: An e-commerce company can use Semantria API to analyze customer reviews to understand product sentiment, identify product issues, and improve their product offerings.
As a marketer, I found Semantria API extremely useful in analyzing the sentiment of customer feedback on our social media channels. It has helped us identify areas for improvement and measure the impact of our marketing campaigns in real-time.
Related Technologies
- IBM Watson
- Google Cloud Natural Language API
- Amazon Comprehend
- Aylien