Wednesday, July 29, 2020

Understanding Sentiment Analysis

A simple chatbot is not enough to talk to enhance your clients’ experience and boost your business performance. When it comes to development, you realize that you require sentiment analysis to understand their feedback.

It might not seem a particularly difficult task to a human, but discerning intent behind each comment requires significant effort and specific algorithms. Our texts, blog posts, and any other form of written communication is riddled with emotion. An AI system may have little trouble understanding what a short and straightforward “I like it” means, but, in most cases, a single message contains more layers of context, subtext, irony, and other distorting factors. To classify each message correctly and respond appropriately, AI-powered communication systems rely on sentiment analysis.



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