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Tags
In HTML, tags are commonly defined as a set of characters constituting a formatted command for a web page. They are used for making elements for the web page’s markup. During the early days of the Wor...
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Part Of Speech Tagging for Beginners
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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5. Categorizing and Tagging Words
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...
Read more at Natural Language Processing with Python
Tag Predictor
If you are developer then this problem statement will excite you. As I am a android developer and machine learning enthusiast, I always search some of functions which i forgot and stack overflow will…...
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Tag
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
Our Tags
Our most frequently used tags are listed below. If you’d like to search for a particular tag, you can do that by going to http://towardsdatascience.com/tagged/[tag] and replacing [tag] with the term…
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Semantic Tagging: Create Meaningful Tags for your Text Data
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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Part of Speech Tagging — what, when, why and how?
In this article, following the series on NLP, we’ll understand and create a Part of Speech (PoS) Tagger. The idea is to be able to extract “hidden” information from our text and also enable future…
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Tagging Documents Based on Important Words
It’s Day 3 of my 30 Day Writing Challenge, attempting to learn data mining techniques before I start a new job building a machine learning team. Yesterday we dived into the tf-idf algorithm for…
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Can you automatically generate good tags?
One interesting feature of Disruptor Monkey’s Unifyr is their automatic generation of tags from web pages. Good tags are the basis of a folksonomy, and with them I could do some very useful classifica...
Read more at Pete Warden's blog
POS tagging using CRFs
For an introduction to NLP and basic text preprocessing, refer to this article. For an introduction to language models and how to build them, take a look at this article. If you’re familiar with NLP…
Read more at Towards Data Science
Auto Tagging Stack Overflow Questions
One of the most interesting applications of NLP is automatically infer and tag the topic of a question. In this post, we’ll start from exploratory analysis of Stack Overflow questions and answers…
Read more at Towards Data Science
Annotations
Annotations Annotating text with Matplotlib. Table of Contents Annotations Basic annotation Advanced Annotations Annotating with Text with Box Annotating with Arrow Placing Artist at the anchored loca...
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Building a Recommender System for Tagging Music
I was listening to a podcast about AI in the music industry, recently. When we think of AI and music, it’s typically music classification and generation that come to mind first. In this podcast…
Read more at Towards Data Science
Part of speech - Word Tagger
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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Automated movie Tagging- A Multiclass classification problem
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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Descriptive Image Tag Suggestion In a Streamlit App
We will build a system that can do automatic tag suggestions for images using a vision model. It means that having an image as input, it will predict ranked list of labels that describe this image…
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A Graph of Medium’s Tags
As described in a previous post, I collected data on 1,000 of Medium’s most popular stories. Here is a visualization of their most common tags. I took the liberty of mapping synonymous tags to their…
Read more at Towards Data Science
Part of Speech Tagging with Hidden Markov Chain Models
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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Movie Tag Prediction
No, but if you provide a summary of the movie there then we can build a machine learning model to predict genre for that movie, oh really? then how to do that? Summary of a movie can be valuable for…
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A Game of Words: Vectorization, Tagging, and Sentiment Analysis
Full disclosure: I haven’t watched or read Game of Thrones, but I am hoping to learn a lot about it by analyzing the text. If you would like more background about the basic text processing, you can…
Read more at Towards Data Science
Stack Overflow Tag Prediction
If you are a software engineer or a programmer you must have used StackOverflow at least once in your lifetime. But have you ever wondered how StackOverflow predicts the tags for a given question …
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Part Of Speech (POS) tagging in NLP
How to select a model for NLP Image by Author The fundamental building block of all languages is the word. Words are classified into parts of speech (POS) according to the way they function in a sent...
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Movie Tag(s) Prediction Using Machine Learning Models.
Predicting Tags for movies helps us to find out information like the genre, plot structure, metadata, and emotional experiences of the Movies. That information can be useful in building automated…
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