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An Introduction to Natural Language Processing NLP Predictive text, autocorrect, and autocomplete have become so accurate in word processing programs, like MS Word and Google Docs, that they can make us feel like we need to go back to grammar school. It involves filtering out high-frequency words that add little or no semantic value to […]

Leveraging attention layer in improving deep learning models performance for sentiment analysis SpringerLink Creating wordcloud in python with is easy but we need the data in a form of a corpus. You can print all the topics and try to make sense of them but there are tools that can help you run this data exploration more

NLP & Lexical Semantics The computational meaning of words by Alex Moltzau The Startup The most prominent contribution to this endeavor after Lyons is found in Cruse (1986). Murphy (2003) is a thoroughly documented critical overview of the relational research tradition. The most important task of semantic analysis is to get the proper meaning of

NLP vs NLU vs. NLG: Understanding Chatbot AI Increasingly, however, RPA is being referred to as IPA, or Intelligent Process Automation, using AI technology to understand and take on increasingly complex tasks. When it comes to relations between these techs, NLU is perceived as an extension of NLP that provides the foundational techniques and methodologies