For example, if a bot’s training set contains "How are you doing?"
Text classifications allow NLP to understand human language (e.g., phrasing, intent, and colloquialisms) and respond consistently through chat, text, or voice message. Multinational Naïve Bayes is a classic example of text classification and NLP: It matches terms from the input sentences and assigns a score to each classification to determine the highest scored class associated with the input. For example, if a bot’s training set contains "How are you doing?" and "Good morning" sentences in the "Greetings" class, the query "Hello, good morning" will get two matches: "Good" and "morning" in the classification with a score=2.