Sentiment Analysis
The use of natural language processing to identify and extract subjective information from text, determining the sentiment expressed.
The use of natural language processing to identify and extract subjective information from text, determining the sentiment expressed.
A prioritized list of features, enhancements, and fixes that are intended to be addressed in future product development cycles.
The potential for a project or solution to be economically sustainable and profitable.
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes.
A team responsible for delivering specific features or enhancements, typically working on predefined requirements and focusing on the implementation of assigned features.
The tendency to cling to one's beliefs even in the face of contradictory evidence.
The speed at which users start using a new product, typically measured as a percentage of the target market over a specific period.
The condition in which two or more versions of a product or system offer the same features and functionalities, ensuring consistency and uniformity across different platforms or updates.
An approach that applies Agile principles to IT operations, emphasizing iterative development, collaboration, and continuous improvement.