futureanalytica

  What is text preprocessing in NLP Natural Language Process (NLP) is a process to bring together the machines that understand, translate and respond to text or voice data of all types of human language. Data Science is the branch of the Natural Language Process (NLP), more precisely is a branch of Artificial Intelligence or AI. NLP combined with statistical, machine learning, and deep learning models enables computers to process human language, understand the text and voice data and respond with text and voice data keeping the requesters intent and sentiment. NLP also drives computers to summarize large volumes of data in real-time. It can translate from one language to another and respond to spoken commands. Examples of NLP we might have come across are Customer service Chatbots, GPS-operated Systems, Digital Assistance, Google Assistance, Alexa, Siri, and many more. Natural Language Process (NLP)  deals with the data besides text data, There are different types of data whic...

  Ethics forms a fundamental basis of our everyday functioning, and thus constitutes the need to identify where and how it can be worked upon. The popularity of  natural language processing applications  brings forth challenges that lead to dangers during the implementation and a need to revisit one’s ethical considerations. What is Natural Language Processing? Natural language processing (NLP), a field of  artificial intelligence (AI)  that handles the processing and analysis of large volumes of unstructured data, is a real game-changer. Machine learning (ML)  and deep learning with cognitive capabilities are the technologies of AI and, therefore, we see rapid evolution in NLP applications. NLP is a branch that is formed at the intersection of artificial intelligence, computational linguistics, and computer science. It aims to give computers the ability to understand texts and spoken words in a similar way to that of human beings. It leads to the developme...