Which of the following is not the application of NLP?ChatbotsVoice assistantsSemantic AnalysisClustering
Question
Which of the following is not the application of NLP?
- Chatbots
- Voice assistants
- Semantic Analysis
- Clustering
Solution
To determine which of the options is not an application of NLP, we need to understand what each option represents.
-
Chatbots: Chatbots are computer programs designed to simulate human conversation. They use NLP techniques to understand and respond to user queries or commands. Therefore, chatbots are an application of NLP.
-
Voice assistants: Voice assistants, such as Siri or Alexa, also utilize NLP to understand and respond to spoken commands or questions. Hence, voice assistants are an application of NLP.
-
Semantic Analysis: Semantic analysis, also known as sentiment analysis, is a technique used to understand the meaning and sentiment behind text. It involves analyzing the context and tone of the text to determine the overall sentiment. Semantic analysis is a key application of NLP.
-
Clustering: Clustering is a technique used in machine learning and data analysis to group similar data points together based on certain criteria. While NLP can be used to analyze and process text data for clustering purposes, it is not a direct application of NLP itself.
Therefore, the option that is not an application of NLP is "Clustering".
Similar Questions
Which of the following is not the application of NLP?ChatbotsVoice assistantsSemantic AnalysisClustering
Which of the following is not a typical application of NLP?a.Machine translationb.Sentiment analysisc.Image recognitiond.Chatbots
Which of the following an application of artificial intelligence?*1 pointNatural Language ProcessingRoboticsComputer VisionDigital assistantAll of the Aboave
Which of the following is an NLP construct? Question 5 options: System UIMA Entity Facial recognition
Which of the following is not a chatbot?(1 Point)Google BardSophiaChatGPTIBM Watson
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.