The primary aim of Natural Language Processing (NLP) is to create algorithms and models that can analyze, process, and generate human language efficiently and effectively. NLP is a sub-vertical of artificial intelligence that enables machines to understand, interpret and generate human understandable language.
NLP is used in a wide range of applications, from voice assistants and chatbots to language translation and sentiment analysis. Some standard techniques used in NLP include machine learning, deep learning, and natural language generation.
One key challenge in NLP is the variability and complexity of human language. Languages can vary significantly in terms of syntax, grammar, and vocabulary, making it challenging to create algorithms that can accurately analyze and understand language in all its forms. NLP has numerous practical applications across a wide range of industries like healthcare, finance, etc.
NLP is a rapidly evolving field that can transform many aspects of our lives. As NLP technology continues to advance, we can expect to see more innovative and creative applications of this technology in a wide range of industries and contexts.