FlowingData

JUNE 14, 2022

Tags: information , language , words. While speech rate and information rate are still coupled, there’s less variation in information rate across languages. More syllables doesn’t necessarily mean more information.

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FlowingData

OCTOBER 21, 2022

” and “Word clouds are the best!” ” and “I wish there was an easy way to combine a streamgraph and word cloud to see textual changes over time, because that would be ultimate!” Adjust sizes, parts of speech, and the metrics you want to represent for the ultimate words over time.

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Towards AI

FEBRUARY 18, 2024

In the function to extract names of people from sentences, the given sentence is tokenized into words before being tagged as Part of Speech using the pos_tag function defined in the nltk.tag library. from nltk.tokenize import sent_tokenize# Tokenize the detailstokenized_details = df['Details'].apply(lambda

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Natural Language Processing Python AI AI 105

FlowingData

JULY 6, 2023

You pick type designs each time you use a word processor, read an e-book, send an email, prepare a presentation, craft a wedding invite and make an Instagram story. Tags: font , readability , text , Washington Post Everyone knows Comic Sans is always the best choice.

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FlowingData

DECEMBER 6, 2021

Wombo Dream is a fun app that lets you enter some words to output a related AI-powered artwork in various styles. Tags: AI , Wombo. You can get the app, or you can play with it in your browser. I entered my dissertation title.

AI 104

AI AI 104

FlowingData

JANUARY 25, 2022

In case you’re not so good with the words, but feel the social pressure to play Wordle bearing down on you, Jonathan Olson made an optimized solver : The game Wordle has a lot of speculation online about what is the “best” first word. For humans, almost all of these words are great!

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FlowingData

FEBRUARY 14, 2022

I only understand about half of the words in this post, but I appreciate the chart. Tags: Athletic , Premier League , soccer. The Athletic charted territories on the field to show whether the team of interest or their opponents get more touches.

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FlowingData

FEBRUARY 1, 2024

The examples are new, the tools are refreshed, and I rewrote almost every word. Tags: book This second edition is loosely based on the first, but this is a brand new book. It turns out a lot can change over a decade and a half. You can pre-order Visualize This now. I hope it’ll help all of you have more fun with data.

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ODSC - Open Data Science

FEBRUARY 22, 2024

It’s being reported that Disney is in the beta testing phase of a new AI tool called Magic Words. On the 9th, Reuters reported that the tool uses machine learning to tag scenes from the company’s vast media library. In a bid to chase advertising dollars, AI-powered tools such as Magic Words could be the next big thing.

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AI AI Data Science Machine Learning 52

FlowingData

FEBRUARY 15, 2023

I mean that we are using the same word to describe two very different things. Tags: Chris Dalla Riva , music , producers , Tedium Songwriting just isn’t what it used to be. And I don’t mean that in a condescending way. It’s not about a decline in skills and instead about a change in process.

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FlowingData

JANUARY 13, 2022

They categorized the words manually instead of defining a metric, which surprised me. Tags: Google , search , shopping. From there, the keywords, compared to search from 2019, were categorized as a new normal, unusual, or about the same as before. It seems like it would’ve been useful for sorting beyond alphabetical.

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Towards AI

DECEMBER 28, 2023

Allow me to provide an example from the official documentation: import nltk sentence = """At eight o'clock on Thursday morning… Arthur didn't feel very good."""

Natural Language Processing 91

Natural Language Processing Python Artificial Intelligence Artificial Intelligence 91

Data Science Dojo

AUGUST 7, 2023

For example, if some content has to be optimized for SEO , the process would involve different things like adjusting the keywords in the right density, organizing the content using heading tags, adding alt texts for all the images, compressing said images, and so on. In other words, there’s no stuff to learn.

AI 195

AI AI Artificial Intelligence Artificial Intelligence 195

Data Science Dojo

AUGUST 7, 2023

For example, if some content has to be optimized for SEO , the process would involve different things like adjusting the keywords in the right density, organizing the content using heading tags, adding alt texts for all the images, compressing said images, and so on. In other words, there’s no stuff to learn.

AI 195

AI AI Artificial Intelligence Artificial Intelligence 195

Heartbeat

MARCH 22, 2023

It has several text-processing libraries for tokenization, stemming, part-of-speech tagging, semantic reasoning, and many more tasks. We can either: Tokenize by word. Tokenize by word Here, we break down the text into individual words. NLTK provides word_tokenizer that allows us to split text into words.

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Natural Language Processing Deep Learning Deep Learning Machine Learning 52

Data Science Dojo

JUNE 26, 2023

Therefore, it is able to learn the meaning of words, the structure of words, and the relation between them. An LLM is generally able to predict what words will follow words already typed. million words and contains 340 million parameters so that it can understand and respond to what is entered into the search box.

Deep Learning 195

Deep Learning Deep Learning Algorithm Artificial Intelligence 195

FlowingData

APRIL 28, 2022

In other words, even Facebook’s own engineers admit that they are struggling to make sense and keep track of where user data goes once it’s inside Facebook’s systems, according to the document. Tags: facebook , Motherboard , privacy. (Motherboard retyped the document from scratch to protect a source.). ” Hm.

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Flipboard

JUNE 11, 2023

We also pass the `tag: true` option to the ‘AES.encrypt’ method to request the authentication tag, and then pass the tag to the ‘AES.decrypt’ method to verify the integrity of the decrypted data. The neural network doesn’t always just choose the most likely word, though. ChatGPT appears authoritative.

AI 170

AI AI SQL Python 170

Hacker News

MARCH 1, 2022

My written words are my most precious asset. Will Microsoft Word? If you rely on Word, Evernote or Notion, for example, then you can’t work unless you have Word, Evernote, or Notion. Maybe in each diary entry, the first two lines are like: date: 2022-02-28 tags: where-to-live, kids, dog, anxious. Here’s why.

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Python 122

Dataconomy

JUNE 21, 2023

From making sense of prompts to harnessing the power of specific tags, these insights aim to unravel the potential of AI in manifesting your creative ideas visually. Initiate the process with a few clear, straightforward words. To utilize the -creative tag, it’s mandatory to also include –test or –testp.

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AI AI Artificial Intelligence Artificial Intelligence 91

Dataconomy

JANUARY 23, 2024

Google’s algorithm organises these results based on a few key factors : The meaning of the query and its context – Google analyses the intent behind the user’s words, as well as information such as location or past search history. Using header tags (H1, H2, H3, etc) to structure your content. Optimising your images.

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Algorithm 103

FlowingData

JANUARY 4, 2022

6, the analysis searched for words and phrases to identify attacks on the election’s integrity. Tags: facebook , insurrection , machine learning , ProPublica , Washington Post. The Post and ProPublica used machine learning to narrow that list to 27,000 public groups that showed clear markers of focusing on U.S.

Machine Learning 92

Machine Learning Machine Learning 92

Data Science Dojo

JULY 31, 2023

AI in SEO: Search landscape and empowering financial institutions Basically, AI has managed to prove that you don’t need teams of people looking up keywords, creating content, developing SEO strategies, writing meta tags, and doing all the rest of the tedious tasks that the “SEO bros” have spent their time on over the last decade.

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AI AI Algorithm Machine Learning 358

IBM Journey to AI blog

AUGUST 28, 2023

words and/or phrases) known as tokens. Stop-words removal: Stop words are common words that don’t have significant meaning in a phrase or sentence (e.g., “the,” “is,” “and,” etc.). Removing stop words helps reduce noise in the data and improve accuracy in the analysis stage.

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Machine Learning Machine Learning Data Mining Data Mining 56

AWS Machine Learning Blog

JULY 5, 2023

However, using the audio file alone, the browser can’t find what parts of the text are being spoken at any instant because we don’t have granular information on when each word is spoken. Speech marks are stored in a text file that shows the time (measured in milliseconds from start of the audio) when each word or sentence is spoken.

AWS 66

AWS Machine Learning Machine Learning ML 66

IBM Data Science in Practice

NOVEMBER 24, 2023

Click to expand the CP4D section, then click the Kubernetes Container Usage — with tag selection row to see the graphs. Tag  — Enter or search for the addOnId of your service to filter to your service only (as needed). As there are many pods under this namespace, it’s necessary to filter further by using a tag.

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Clustering Data Science 130

Heartbeat

APRIL 17, 2023

Pre-processing: The text is first pre-processed by removing any unnecessary information, such as stop words, and tokenizing the text into individual words. Part-of-speech (POS) tagging: Each word in the text is tagged with its part-of-speech (e.g., noun, verb, adjective). Image from: [link] 3.

Natural Language Processing 52

Natural Language Processing Support Vector Machines Machine Learning Machine Learning 52

AssemblyAI

SEPTEMBER 29, 2023

Content management: organize and prioritize After a video or audio file is transcribed using Automatic Speech Recognition, companies can apply additional AI models to the transcription text that can categorize and tag content. This allows CallRail’s customers to more easily identify high-priority calls and common customer challenges.

AI 105

AI AI Artificial Intelligence Artificial Intelligence 105

Mlearning.ai

APRIL 1, 2023

NLP A Comprehensive Guide to Word2Vec, Doc2Vec, and Top2Vec for Natural Language Processing In recent years, the field of natural language processing (NLP) has seen tremendous growth, and one of the most significant developments has been the advent of word embedding techniques. The following diagram shows the architecture of CBOW.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Clustering 52

Mlearning.ai

APRIL 21, 2023

Even though traditional datasets are always in the form of a series of documents of either text files or word files, The problem with it is we can not feed it directly to LLM models as it requires data in a specific format. The data like this, we can find on any website or at any place where data emerges.

Natural Language Processing 52

Natural Language Processing Supervised Learning Machine Learning Machine Learning 52

DrivenData Labs

JANUARY 22, 2024

Define the token types ¶ A token classifier is typically looking to tag tokens according to the part of speech or entity type. This token is the beginning (first part of the first word) of a clinical entity. This token is inside a clinical entity - i.e. not the first word but a subsequent word. B-clinical_entity.

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Mlearning.ai

JULY 23, 2023

Introducing Natural Language Processing (NLP) , a branch of artificial intelligence (AI) specifically designed to give computers the ability to understand text and spoken words in much the same way as human beings. Part of Speech (POS) Tagging : Assigning grammatical tags to words in a sentence. So, how do they do that?

Algorithm 52

Algorithm Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Heartbeat

JANUARY 26, 2023

Understanding and creating N-grams for Natural Language Processing (NLP) with Python NLTK library Photo by Jelleke Vanooteghem on Unsplash In Natural Language Processing (NLP), we train models to enable computers to understand text and spoken words in the same way humans can. Part of speech tagging. Sentiment analysis.

Python 52

Python Natural Language Processing Deep Learning Deep Learning 52

Towards AI

JULY 20, 2023

And that’s not even counting the material costs of SLRs, whose production often comes with a price tag of up to a quarter of a million U.S. a text file with one word per line). An additional 2018 study found that each SLR takes nearly 1,200 total hours per project. dollars apiece.

Natural Language Processing 81

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Hacker News

MARCH 25, 2022

A transformer model is a neural network that learns context and thus meaning by tracking relationships in sequential data like the words in this sentence. Transformers use positional encoders to tag data elements coming in and out of the network. They trained it on datasets with up to a billion pairs of words. “It

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Machine Learning Machine Learning AI AI 182

Mlearning.ai

JUNE 29, 2023

This versatile toolkit stands ready to tackle a myriad of NLP tasks, encompassing vital functionalities such as part-of-speech (POS) tagging, named entity recognition (NER), sentiment analysis, and an array of other indispensable capabilities. Some of the most commonly used annotators are: tokenize: Splits the input text into tokens or words.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Algorithm 52

Towards AI

APRIL 18, 2023

Diagram describing ChunkDot’s Cosine Similarity Top K algorithm There are several use cases that perform similarity calculations over sparse vector representations, for example, it often happens in NLP that the vectorization of a corpus of text is done via the use of tokens, n-grams, or words. Clustering / Tagging / Grouping of documents.

Algorithm 81

Algorithm Clustering Python AI 81