IBM Watson Natural Language Understanding

IBM Watson Natural Language Understanding (NLU) is a cloud-based AI service that enables machines to extract meaning from unstructured text data. It provides advanced tools to analyse and interpret language through various methods, including keyword extraction, sentiment analysis, emotion detection, entity recognition, and syntax analysis. Watson NLU processes text using machine learning algorithms and linguistic features, allowing users to gain deep insights from large volumes of data.

IBM Watson NLU was formerly the Alchemy API. IBM bought over AlchemyAPI in 2015.

Key service capabilities include:

• Sentiment Analysis: Understanding the emotional tone behind the text.
• Entity Recognition: Identifying specific entities like names, locations, or organisations.
• Keyword Extraction: Detecting the most relevant terms in a document.
• Emotion Detection: Determining emotions expressed in the text (joy, anger, sadness, etc.).
• Categories and Concepts: Categorising documents based on predefined taxonomies and identifying broader themes.

Watson NLU supports multiple languages and can be integrated into applications for use cases such as customer feedback analysis, content recommendation, and market research. By enabling businesses to extract meaningful insights from text, Watson NLU improves decision-making and automates the understanding of large-scale textual information.