First, I’ll import my libraries.
library(httr)
library(jsonlite)
library(tidyverse)## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ──
## ✔ ggplot2 3.4.0 ✔ purrr 1.0.1
## ✔ tibble 3.1.8 ✔ dplyr 1.0.10
## ✔ tidyr 1.3.0 ✔ stringr 1.5.0
## ✔ readr 2.1.3 ✔ forcats 0.5.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ purrr::flatten() masks jsonlite::flatten()
## ✖ dplyr::lag() masks stats::lag()Now I’ll build a function to ping the API, extract JSON from the response, and convert that JSON to a dataframe.
call_nyt_articles <- function(query, api_key) {
call_string = 'https://api.nytimes.com/svc/search/v2/articlesearch.json?q={query}&api-key={api_key}'
call_string <- str_replace(call_string, '\\{query\\}', query)
call_string <- str_replace(call_string, '\\{api_key\\}', api_key)
res <- GET(call_string)
df <- fromJSON(rawToChar(res$content))
return(df)
}Finally, I’ll test my function here with a query.
call_nyt_articles('machine+learning', 'jbxyGZemOOBuxpQLVtGrKEXLkyZSr1z9')## $status
## [1] "OK"
##
## $copyright
## [1] "Copyright (c) 2023 The New York Times Company. All Rights Reserved."
##
## $response
## $response$docs
## abstract
## 1 Microsoft plans to make predictive data analysis, now an arcane field, a standard part of business. The company says that a product due out in July will simplify what are now expensive, difficult processes.
## 2 Google is making much of its machine-learning technology freely available as open-source software. The move is intended to accelerate innovation in the field and enrich Google.
## 3 One of our Search interns shares details about his summer project — improving word relevancy to increase the relevancy of search results — and his experience working with the team.
## 4 The advice from research on coffee, and nutrition more generally, always seems to be changing. Processing vast amounts of data could help us pin it down.
## 5 '54 sales at $1,750,000,000; Rowe Corp pres Greene on new developments and outlook
## 6 Artificial intelligence is starting to take over repetitive tasks in classrooms, like grading, and is optimizing coursework and revolutionizing the preparation for college entrance exams.
## 7 In this lesson, students will learn about how A.I. is changing education and imagine how the machine learning revolution will shape the schools of the future.
## 8 F M Hechinger on conf
## 9 Grolier offers teaching machine for $20, with 'courses' at $5-15 each; claims device enables avg person to learn 3 times faster than conventional teaching methods
## 10 Univ Coll (London) builds massive computer to study brain learning capacity
## web_url
## 1 https://bits.blogs.nytimes.com/2014/06/16/microsoft-unveils-machine-learning-for-the-masses/
## 2 https://bits.blogs.nytimes.com/2015/11/09/google-offers-free-software-in-bid-to-gain-an-edge-in-machine-learning/
## 3 https://open.blogs.nytimes.com/2016/08/09/summer-intern-report-prototyping-an-improved-search-query-with-machine-learning/
## 4 https://www.nytimes.com/2021/03/24/magazine/coffee-heart-machine-learning.html
## 5 https://www.nytimes.com/1955/01/03/archives/vending-machine-learning-to-talk-urges-customer-to-buy-more.html
## 6 https://www.nytimes.com/2019/12/18/education/artificial-intelligence-tutors-teachers.html
## 7 https://www.nytimes.com/2020/01/02/learning/lesson-of-the-day-the-machines-are-learning-and-so-are-the-students.html
## 8 https://www.nytimes.com/1965/07/18/archives/education-learning-by-machine.html
## 9 https://www.nytimes.com/1960/11/06/archives/new-grolier-machine-said-to-speed-learning.html
## 10 https://www.nytimes.com/1958/10/19/archives/machine-to-copy-brains-methods-huge-computer-in-london-to-think.html
## snippet
## 1 Microsoft plans to make predictive data analysis, now an arcane field, a standard part of business. The company says that a product due out in July will simplify what are now expensive, difficult processes.
## 2 Google is making much of its machine-learning technology freely available as open-source software. The move is intended to accelerate innovation in the field and enrich Google.
## 3 One of our Search interns shares details about his summer project — improving word relevancy to increase the relevancy of search results — and his experience working with the team.
## 4 The advice from research on coffee, and nutrition more generally, always seems to be changing. Processing vast amounts of data could help us pin it down.
## 5 '54 sales at $1,750,000,000; Rowe Corp pres Greene on new developments and outlook
## 6 Artificial intelligence is starting to take over repetitive tasks in classrooms, like grading, and is optimizing coursework and revolutionizing the preparation for college entrance exams.
## 7 In this lesson, students will learn about how A.I. is changing education and imagine how the machine learning revolution will shape the schools of the future.
## 8 F M Hechinger on conf
## 9 Grolier offers teaching machine for $20, with 'courses' at $5-15 each; claims device enables avg person to learn 3 times faster than conventional teaching methods
## 10 Univ Coll (London) builds massive computer to study brain learning capacity
## lead_paragraph
## 1 Microsoft has a new strategy to win cloud business: A supposedly comprehensive predictive analysis service — and all you have to do is store your data in Azure, the Microsoft cloud.
## 2 A race is underway toward the future of computer technology with advances in a branch of artificial intelligence known as machine learning. Machine-learning software is trained to handle vast amounts of data, and then learns as it goes, often on its own.
## 3 I was thrilled when I was offered the summer internship for two specific reasons. First, it was with The New York Times and second, I was going to join the Search team. I was looking for an opportunity that intersected with my interests in information retrieval and machine learning. More importantly, I would have a chance to use what I had been learning in grad school.
## 4 Should you drink coffee? If so, how much? These seem like questions that a society able to create vaccines for a new respiratory virus within a year should have no trouble answering. And yet the scientific literature on coffee illustrates a frustration that readers, not to mention plenty of researchers, have with nutrition studies: The conclusions are always changing, and they frequently contradict one another.
## 5
## 6 This article is part of our continuing Fast Forward series, which examines technological, economic, social and cultural shifts that happen as businesses evolve.
## 7 Featured Article: “The Machines Are Learning, and So Are the Students” by Craig S. Smith
## 8
## 9
## 10
## source
## 1 The New York Times
## 2 The New York Times
## 3 The New York Times
## 4 The New York Times
## 5 The New York Times
## 6 The New York Times
## 7 The New York Times
## 8 The New York Times
## 9 The New York Times
## 10 The New York Times
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## 8 NULL
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## headline.main
## 1 Microsoft Unveils Machine Learning for the Masses
## 2 Google Offers Free Software in Bid to Gain an Edge in Machine Learning
## 3 Summer Intern Report: Prototyping an Improved Search Query With Machine Learning
## 4 Is Coffee Good for Us? Maybe Machine Learning Can Help Figure It Out.
## 5 VENDING MACHINE LEARNING TO TALK; Urges Customer to Buy More -- Industry's Sales Rise to $1,750,000,000
## 6 The Machines Are Learning, and So Are the Students
## 7 Lesson of the Day: ‘The Machines Are Learning, and So Are the Students’
## 8 Education: Learning by Machine
## 9 New Grolier Machine Said to Speed Learning
## 10 MACHINE TO COPY BRAIN'S METHODS; Huge Computer in London to 'Think' Like a Person for Study of Learning
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## 5 VENDING MACHINE LEARNING TO TALK; Urges Customer to Buy More -- Industry's Sales Rise to $1,750,000,000
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## 7 <NA>
## 8 Education: Learning by Machine
## 9 New Grolier Machine Said to Speed Learning
## 10 MACHINE TO COPY BRAIN'S METHODS; Huge Computer in London to 'Think' Like a Person for Study of Learning
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## keywords
## 1 subject, subject, persons, organizations, Cloud Computing, Enterprise Computing, Nadella, Satya, Microsoft Corporation, 1, 2, 3, 4, N, N, N, N
## 2 subject, subject, organizations, Artificial Intelligence, Open-Source Software, Google Inc, 1, 2, 3, N, N, N
## 3 subject, subject, organizations, Internships, Search Engines, New York Times, 1, 2, 3, N, N, N
## 4 subject, subject, subject, subject, subject, Coffee, Heart, Diet and Nutrition, Artificial Intelligence, Cancer, 1, 2, 3, 4, 5, N, N, N, N, N
## 5 subject, Vending Machines, 1, N
## 6 subject, subject, subject, Artificial Intelligence, Education (K-12), Computers and the Internet, 1, 2, 3, N, N, N
## 7 NULL
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## 9 glocations, subject, subject, subject, United States, Education and Schools, GENERAL, TEACHING AIDS, 1, 2, 3, 4, N, N, N, N
## 10 subject, Brain, 1, N
## pub_date document_type news_desk section_name
## 1 2014-06-16T16:00:31+0000 article Business Technology
## 2 2015-11-09T14:00:22+0000 article Business Technology
## 3 2016-08-09T14:31:24+0000 article Technology
## 4 2021-03-24T09:00:06+0000 article Magazine Magazine
## 5 1955-01-03T05:00:00+0000 article None Archives
## 6 2019-12-18T10:00:28+0000 article SpecialSections Education
## 7 2020-01-02T09:00:05+0000 article Learning The Learning Network
## 8 1965-07-18T05:00:00+0000 article None Archives
## 9 1960-11-06T05:00:00+0000 article None Archives
## 10 1958-10-19T05:00:00+0000 article None Archives
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