Mahmoud Hamed Namnamarabic-tokenization.hashnode.dev·12 hours agoArabic Language Tokenization Explained: Key Concepts and MethodsIntroduction Tokenization is one of the first steps in Natural Language Processing (NLP), where text is divided into smaller units known as tokens. These units can be words, sentences, or even characters. Tokenization is essential for text analysis, ...3 likes·74 readsfarasa
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Sep 18, 2024How to Use Python for Natural Language Processing (NLP)Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and respond to human language. NLP has applications in various fields, such as chatbots, sentiment analysis, machine...10 likes·33 readsMachine LearningPython
Pablo Salvador Lopezpabloaicorner.hashnode.dev·Aug 15, 2024Modernize Your Document Management with Azure AI and Generative AI: Advance OCR, Intelligent Tagging, and NERIs your company still manually processing millions of documents, classifying them by hand, or using outdated, inaccurate scripts to extract important information? Or perhaps you are deep into your GenAI efforts and have built advanced knowledge bases...1 like·377 readsAI That Matters🌟Azure AI document Intelligence
kapil Gargkapilg.hashnode.dev·Jun 17, 2024Organizing movie collection with machine learningIf you have downloaded movies from internet sources, chances are that those video file names' contains a lot of garbage in it. Oppenheimer.2023.1080p.LM.HD-TeleSync.DUAL.DD2.0.H.264-xCLuMsYx.mkv Minions The Rise of Gru 2022 BluRay ReMux 1080p AVC Tru...128 readsnlp
Andrea D’Agostinodag.hashnode.dev·Mar 21, 2024Extract any entity from text with GLiNERThose who have worked in the past with the NER (named entity recognition) paradigm know well the value of having a performing model for the task on which it has been trained. In fact, NER models are extremely useful for data mining and textual analys...59 readsMachine Learninggliner
Naman GoelforFutureSmart AI Blogblog.futuresmart.ai·Jun 21, 2023Building a Custom NER Model with SpaCy: A Step-by-Step GuideIn today's data-driven world, extracting and understanding named entities from text is crucial for various natural language processing tasks. Named Entity Recognition (NER) is a subtask of information extraction that aims to identify and classify nam...5 likes·12.9K readsNER
Vipul Sharmadadhich14.hashnode.dev·Mar 1, 2023Named Entity Recognition (NER) in Python with SpacyNatural Language Processing deals with text data. The amount of text data generated these days is enormous. And, this data if utilized properly can bring many fruitful results. Some of the most important Natural Language Processing applications are T...34 readsNER