MeaningCloud Sentiment Analysis API
Get to know the mood of your audience
This API is best for analyzing the sentiment of texts, comments, or reviews written in different languages and returning the results in a structured manner.
A developer would use this API to analyze the sentiment and mood of reviews or comments in different languages, classify texts into different categories, and detect sarcasm and irony. It can be used to derive insights into customers' feedback, social media posts, and news articles, or even for content moderation. With MeaningCloud Sentiment Analysis API, developers can extract valuable information from unstructured text in a simple and fast way, leveraging Natural Language Processing and machine learning algorithms.
Key features
- Multilingual sentiment analysis
- Aspect-based sentiment analysis
- Text classification
- Irony detection
- Summarization
Potential use cases
- Brand reputation management: A tool for companies to monitor the online sentiment of their brand and products, track their customer's feedback, and analyze their perception among competitors.
- Social media trend analysis: An app for media companies to track the sentiment of news articles, social media posts, and discussions about the most trending topics, summarizing and classifying them according to their tone.
- E-commerce review analyzer: A software for online stores to analyze the sentiment of customer reviews and ratings, classify them according to their topics, and extract valuable insights to improve their products and services.
We have been using MeaningCloud Sentiment Analysis API for several years in our social media monitoring and sentiment analysis project, and we are very satisfied with its performance and accuracy. The API is very easy to use, and the support team provides excellent technical assistance and documentation.
Related Technologies
- Amazon Comprehend
- Google Cloud Natural Language API
- IBM Watson Natural Language Understanding