NLP (Natural Language Processing)
NLP has diverse applications across industries, including sentiment analysis, text classification, machine translation, question-answering systems, speech recognition, and text generation.
Conversational AI and chatbots
NLP drives computer programs that translate text from one language to another, respond to spoken commands, and summarize large volumes of text rapidly—even in real time.
Like - Text to text generation, content creation, theme estimation, sentiment analysis, spam detection, virtual assistance
Analyze the sentiment(behavior) of users to the particular topic/entity. In the education sector how much efficient a student write, can talk?
It is a way to get an idea about the user’s behavior and mental health to the entity whether he thinking positive, negative, or neutral.
Example - Social media trend topic analysis, political activity, a person’s behaviour to another person.
Speech to text conversation
What is NLP, and where is it used?
NLP is a field of AI that focuses on the interaction between computers and human language. It is used in applications like chatbots, sentiment analysis, and machine translation.
What are some NLP challenges?
Challenges include language understanding, context interpretation, and handling diverse languages.