In Natural Language Processing there is a concept known as Sentiment Analysis. Given a movie review or a tweet, it can be automatically classified in categories. These categories can be user defined (positive, negative) or whichever classes you want.
In case of sentiment analysis, even humans cannot agree on 100% of the cases due to linguistic ambiguities like sarcasm. However state of the art sentiment analysis algorithms trained by thousands of real life examples perform on par with humans.
So what does our API do?
This API comes pre-trained with tens of thousands of APIs, carefully classified as positive or negative. You don't need to deal with training any model. Just call the API and go!
This API will also identify text with HTML code in it. Just send the HTML text without any worries.
Use Cases for Sentiment Analysis
Brands are relying heavily on analyzing social media monitoring and Sentiment Analysis API in order to measure return on investment (ROI) of their marketing efforts. You can also apply thematic analysis to determine the features on which the customers are talking about the most.
Key Features
- Pre-trained statistical models
- Ease of use
