Anshuman Sinhaanshumansinha3301.hashnode.dev·Dec 19, 2024Decision Trees in Artificial IntelligenceDecision Trees are a widely used machine learning algorithm in AI for both classification and regression tasks. They work by dividing data into subsets based on certain features, and they represent decisions in a tree-like structure. In this structur...decision making
Anshuman Sinhaanshumansinha3301.hashnode.dev·Dec 19, 2024Natural Language Processing in Artificial IntelligenceNatural Language Processing (NLP) in AI is a subfield of artificial intelligence focused on the interaction between computers and human (natural) languages. It aims to enable machines to understand, interpret, and generate human language in a way tha...Artificial Intelligence
Bittu Sharmabittublog.hashnode.dev·Dec 19, 2024Exploring Tokenization: Key Facts and InsightsTokenization is a fundamental process in Natural Language Processing (NLP) that involves breaking down a stream of text into smaller units called tokens. These tokens can range from individual characters to full words or phrases, depending on the lev...Tokenization
Anirudh Uppalaijourney.hashnode.dev·Dec 8, 2024Demystifying Natural Language Processing (NLP): How Machines Understand Human LanguageIntroduction Have you ever spoken to a voice assistant like Siri or Alexa, used Google Translate, or received personalized recommendations while chatting with a chatbot? These applications are all powered by Natural Language Processing (NLP)—the bran...genai
Gabi Dobocanblog.telepat.io·Dec 6, 2024Unlocking Business Value with Rich Bilingual English–French Collocation ResourcesUnderstanding Collfren and Its Main Proposals Language intricacies often surface most poignantly in collocations—unique, idiosyncratic combinations of words that native speakers use seamlessly and language learners grapple with regularly. A new paper...bilingual
Kritisha Pandakritishacodes.hashnode.dev·Dec 1, 2024The Machine Learning EraThe Machine Learning Revolution in NLP: A New Dawn Welcome back to our exploration of Natural Language Processing (NLP) evolution. Building on the progress made in statistical NLP, researchers began integrating machine learning techniques to further ...LLMs Mastery: Complete guide to LLMs and Gen AIMachine Learning
Kritisha Pandakritishacodes.hashnode.dev·Nov 30, 2024The Statistical EraWelcome back to our exploration of the evolution of Natural Language Processing (NLP). After the limitations of rule-based systems became apparent, researchers embarked on a mission to enhance NLP capabilities through statistical methods. This era ma...LLMs Mastery: Complete guide to LLMs and Gen AIMachine Learning
TJ Gokkentjgokken.com·Nov 26, 2024VibeCheck: Sentiment Analysis in .NETWith countless feedback channels available today, users freely share their opinions and feedback. This makes it crucial for businesses to understand user opinions and emotional tone in text such as feedback, social media posts, or customer reviews. D...Sentiment analysis
Gabi Dobocanblog.telepat.io·Nov 24, 2024Exploring Quantum NLP: Bridging Language with Quantum ComputingMultimodal Quantum Natural Language Processing: A Quantum Leap for Businesses Multimodal Quantum Natural Language Processing (MQNLP) holds great promise for transforming how businesses interact with data. This blog post will walk you through the key ...Business Applications
Avdhesh Varshneyavdhesh-blogs.hashnode.dev·Nov 23, 2024Text Representation in NLPIntroduction What is Feature Extraction from text? To text representation To text recognition Why do we need it? Why is it difficult? What is the core idea? What are the techniques? OHE (One Hot Encoding) BOW (Bag of Words) ngrams TfIdf ...nlp
