Data Science & Developer Roadmaps with Chat & Free Learning Resources

How to train a Topic Tagging model to assign high-quality topics to articles

 Towards AI

Topic Tagging is the process of assigning topics to the content of various forms, the most spread being text. We commonly see articles tagged in newspapers by the authors as a form of organizing…

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Tag

 Codecademy

The tag command creates, lists, deletes, or verifies a commit marker with a GnuPG tag object attached. This helps add some semantic meaning to a commit message. Syntax The <flags include the following...

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Oracle Cloud (OCI) — Bulk Tagging Cloud Resources

 Oracle Developers

Tagging is a valuable tool. When you’re working with cloud resources you typically prefer to keep your resources “Tagged.” Why?With tagging, you associate your cloud resources with extra data, so that...

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Semi-Supervised Face Tagging

 Towards Data Science

Auto Face Tagging is when you click a new picture from your phone and upload it to social media and it is able to recognize the person’s in that image and suggests you to tag them. It is widely seen…

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Part Of Speech Tagging for Beginners

 Towards Data Science

Part-of-speech (POS) tagging is a popular Natural Language Processing process which refers to categorizing words in a text (corpus) in correspondence with a particular part of speech, depending on…

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Implementing Part of Speech Tagging for English Words Using Viterbi Algorithm from Scratch

 Towards Data Science

Part of speech tagging is the process of assigning a part of speech to each word in a text, this is a disambiguation task and words can have more than one possible part of speech and our goal is to…

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Part of speech - Word Tagger

 Towards Data Science

The process of classifying words into their parts of speech and labeling them accordingly is known as part-of-speech tagging or POS-tagging, or simply tagging. The part of speech explains how a word…

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5. Categorizing and Tagging Words

 Natural Language Processing with Python

Back in elementary school you learnt the difference between nouns, verbs, adjectives, and adverbs. These "word classes" are not just the idle invention of grammarians, but are useful categories for ma...

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Part of Speech Tagging with Hidden Markov Chain Models

 Towards Data Science

Part of Speech Tagging (POS) is a process of tagging sentences with part of speech such as nouns, verbs, adjectives and adverbs, etc. Hidden Markov Models (HMM) is a simple concept which can explain…

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Using the Tag System in Unity and Damaging the Player

 Level Up Coding

Tags are a super helpful system in Unity that makes it easy for us to tell which objects are interacting with each other, and HOW they should interact within our code. Using the Tag system is simple…

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Automated movie Tagging- A Multiclass classification problem

 Towards Data Science

Tagging of movies reveals a wide range of heterogeneous information about movies, like the genre, plot structure, soundtracks, metadata, visual and emotional experiences. That information can be…

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Semantic Tagging: Create Meaningful Tags for your Text Data

 Towards AI

Fine-tuning Large Language Models with Identity Preference Optimization to enhance the semantic alignment of textual tags. Photo by Angèle Kamp on Unsplash Introduction Textual information can be fou...

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