CYMO Use Case
Empowering Developers, Researchers, and Data Scientists in Building XAI-Powered Models
Sentiment Analysis and Opinion Mining
Unlock the potential of CYMO Unlock the Power of CYMO for Advanced Sentiment and Opinion Mining
Harness CYMO's capabilities to build advanced AI models that transform how you analyze sentiments and opinions in text and speech.
Leverage Comprehensive Feature Extraction
CYMO enables the extraction of a wide range of expert-engineered features from both speech and text, combining lexicon-based and predictive, content-agnostic features. This robust feature set lays the foundation for deeper insights into sentiment and opinion analysis.
Integrate Sentence-Level Measurements
CYMO provides sentence-level measurements, capturing the intricacies of sentiment and opinion at a granular level. Analyzing each sentence individually allows for the detection of shifts in sentiment and opinion within a single piece of content, leading to a more accurate and detailed analysis.
Build Reliable Predictive Models
CYMO's features undergo rigorous validation, ensuring they contribute to the creation of reliable and predictive sentiment and opinion models. These models are designed to be both explainable and robust, offering confidence in the insights they deliver.
some background
Sentiment analysis, also known as opinion mining, is the computational evaluation of public opinions, sentiments, and attitudes toward various entities, including products, services, events, and topics. This analysis facilitates the tracking of collective sentiment, generating actionable insights that enhance the understanding, explanation, and prediction of complex social phenomena.
To dive deeper into this topic, explore our scientific research publications.