Объедините аккуратный текст с синонимами для создания фрейма данных

Один из способов сделать это с помощью tidyverse решения:

library(plyr)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:plyr':
#> 
#>     arrange, count, desc, failwith, id, mutate, rename, summarise,
#>     summarize
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(tidytext)
library(qdap)
#> Loading required package: qdapDictionaries
#> Loading required package: qdapRegex
#> 
#> Attaching package: 'qdapRegex'
#> The following object is masked from 'package:dplyr':
#> 
#>     explain
#> Loading required package: qdapTools
#> 
#> Attaching package: 'qdapTools'
#> The following object is masked from 'package:dplyr':
#> 
#>     id
#> The following object is masked from 'package:plyr':
#> 
#>     id
#> Loading required package: RColorBrewer
#> 
#> Attaching package: 'qdap'
#> The following object is masked from 'package:dplyr':
#> 
#>     %>%
#> The following object is masked from 'package:base':
#> 
#>     Filter
library(tibble)
library(tidyr)
#> 
#> Attaching package: 'tidyr'
#> The following object is masked from 'package:qdap':
#> 
#>     %>%

quotes <- tibble(quoteiD = paste0("q", 1:5), 
                 quote=  c(".\n\nthe ebodac consortium consists of partners: janssen (efpia), london school of hygiene and tropical medicine (lshtm),", 
                           "world vision) mobile health software development and deployment in resource limited settings grameen\n\nas such, the ebodac consortium is well placed to tackle.", 
                           "Intelligence is the ability to adapt to change.", 
                           "Science is a of reason of romance and passion.", 
                           "If I have seen further it is by standing on ."))
quotes
#> # A tibble: 5 x 2
#>   quoteiD quote                                                            
#>   <chr>   <chr>                                                            
#> 1 q1      ".\n\nthe ebodac consortium consists of partners: janssen (efpia~
#> 2 q2      "world vision) mobile health software development and deployment~
#> 3 q3      Intelligence is the ability to adapt to change.                  
#> 4 q4      Science is a of reason of romance and passion.                   
#> 5 q5      If I have seen further it is by standing on .

data(stop_words)
tidy_words <- quotes %>%
  unnest_tokens(word, quote) %>%
  anti_join(stop_words) %>% 
  count( word, sort = TRUE)
#> Joining, by = "word"
tidy_words
#> # A tibble: 33 x 2
#>    word            n
#>    <chr>       <int>
#>  1 consortium      2
#>  2 ebodac          2
#>  3 ability         1
#>  4 adapt           1
#>  5 change          1
#>  6 consists        1
#>  7 deployment      1
#>  8 development     1
#>  9 efpia           1
#> 10 grameen         1
#> # ... with 23 more rows

syns <- synonyms(tidy_words$word)
#> no match for the following:
#> consortium, ebodac, consists, deployment, efpia, grameen, janssen, london, lshtm, partners, settings, software, tropical
#> ========================

syns %>% 
  plyr::ldply(data.frame) %>% # Change the list to a dataframe (See https://stackoverflow.com/questions/4227223/r-list-to-data-frame)
  rename("Word_DefNumber" = 1, "Syn" = 2) %>% # Rename the columns with a name that is more intuitive
  separate(Word_DefNumber, c("Word", "DefNumber"), sep = "\\.") %>% # Find the word part of the word and definition number
  group_by(Word) %>% # Group by words, so that when we select rows it is done for each word
  slice(1:5) %>% # Keep the first 5 rows for each word
  summarise(synonyms = paste(Syn, collapse = ", ")) %>% # Combine the synonyms together comma separated using paste 
  ungroup() # So there are not unintended effects of having the data grouped when using the data later
#> # A tibble: 20 x 2
#>    Word         synonyms                                                   
#>    <chr>        <chr>                                                      
#>  1 ability      adeptness, aptitude, capability, capacity, competence      
#>  2 adapt        acclimatize, accommodate, adjust, alter, apply             
#>  3 change       alter, convert, diversify, fluctuate, metamorphose         
#>  4 development  advance, advancement, evolution, expansion, growth         
#>  5 health       fitness, good condition, haleness, healthiness, robustness 
#>  6 hygiene      cleanliness, hygienics, sanitary measures, sanitation      
#>  7 intelligence acumen, alertness, aptitude, brain power, brains           
#>  8 limited      bounded, checked, circumscribed, confined, constrained     
#>  9 medicine     cure, drug, medicament, medication, nostrum                
#> 10 mobile       ambulatory, itinerant, locomotive, migrant, motile         
#> 11 passion      animation, ardour, eagerness, emotion, excitement          
#> 12 reason       apprehension, brains, comprehension, intellect, judgment   
#> 13 resource     ability, capability, cleverness, ingenuity, initiative     
#> 14 romance      affair, affaire (du coeur), affair of the heart, amour, at~
#> 15 school       academy, alma mater, college, department, discipline       
#> 16 science      body of knowledge, branch of knowledge, discipline, art, s~
#> 17 standing     condition, credit, eminence, estimation, footing           
#> 18 tackle       accoutrements, apparatus, equipment, gear, implements      
#> 19 vision       eyes, eyesight, perception, seeing, sight                  
#> 20 world        earth, earthly sphere, globe, everybody, everyone

^{Создано 05 апреля 2019 г. с помощью пакета reprex (v0.2.1)}

Обратите внимание, что plyr должен быть загружен до dplyr