Identifies the positive/negative/neutral polarity conveyed by any text, including comments in surveys and social media. It also extracts sentiment at a document and aspect-based level. In order to do this, the local polarity of the different sentences in the text is identified and the relationship between them evaluated, resulting in a global polarity value for the whole text.

Differentiators:

• Extracts aspect- based sentiment.
• Discriminates opinions and facts.
• Detects polarity disagreement and irony (beta).
• User can create its own sentiment models.
• FREE for up to 20,000 requests per month

Learn more at http://www.meaningcloud.com/products/sentiment-analysis/.

Related APIs:

• Topics Extraction https://rapidapi.com/MeaningCloud/api/topics-extraction
• Text Classification https://rapidapi.com/MeaningCloud/api/text-classification
• Language Identification https://rapidapi.com/MeaningCloud/api/language-identification