What is the main purpose of the IBM Watson Tone Analyzer?

The main purpose of the IBM Watson Tone Analyzer is to detect emotional tones within text. This tool uses advanced natural language processing techniques to analyze written communication, identifying a variety of emotional tones such as joy, anger, sadness, and fear. It helps users understand the emotional context behind the text, which can be invaluable for applications like customer service, content creation, and social media monitoring. By detecting these tones, the Tone Analyzer enables businesses and individuals to respond appropriately to the emotional state of their audience, ensuring more effective communication.

In contrast, the other options focus on different functionalities. Converting spoken language into text pertains to speech recognition, which is not the primary function of the Tone Analyzer. Transcribing and categorizing customer service calls relates more to call analytics tools, while facilitating language translation in real time involves machine translation technologies, neither of which align with the core capability of analyzing emotional tones in text.