In MarekProkop/keywordr: Research and classify search engine queries in R!

knitr::opts_chunk$set(
    echo = FALSE,
    message = FALSE,
    warning = FALSE,
    comment = "",
    fig.width = 8,
    fig.height = 5,
    dev = c("png", "cairo_pdf")
)

library(tidyverse)
library(knitr)
library(clipr)
library(keywordr)

Intialize

Create kwresearch object:

kwr <- kwresearch()

Import from Marketing Miner:

kwr <- kwr |> 
  kwr_import_mm(path = "data-raw/mm-files/")

Summary:

kwr |> kwr_summary()

Research

Source Queries

kwr |> kwr_source_queries() |> 
  arrange(desc(volume), query)

Cleaned and Normalized Queries

kwr |> kwr_clean_queries()

Subqueries

kwr |> kwr_subqueries()

Collocations

kwr |> kwr_collocations()

N-grams

kwr |> 
  kwr_ngrams(min_words = 1, max_words = 4, min_n = 2, min_volume = 1, remove_nested = TRUE) |> 
  kwr_remove_stopwords()

MarekProkop/keywordr documentation built on Nov. 6, 2022, 11:31 a.m.