Фильтрация твитов по критериям соответствия в R

Question

Я совершенно новичок в программировании R. пытается учиться самостоятельно. У меня есть сценарий вроде, у меня есть куча твитов. , и я хотел бы отфильтровать эти твиты на основе слова, если он выходит из текста твитов, тогда он должен получить все твиты, а также другие его атрибуты.

sample.json

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words.txt

google 
facebook 
twitter 

Если Google слово существует в твиты: текст, то он должен получить все твиты, которые это слово содержит и как и для остальных слов. Я пробовал это самостоятельно, но мне нужны некоторые эксперты. Каков наилучший способ сделать это. Пожалуйста, предложите мне обратиться к ссылкам и книгам или документам.

Заранее спасибо. Mohan.V

Answer 1

Вы могли бы начать с чего-то вроде этого:

# words to match 
words <- c("google","facebook","twitter") 
# sample words. put real jsons here 
sample.jsons <- c("google","twitch","twitter","twitch","facebook","twitch","google","facebook","twitter") 
# run through all jsons and target words 
for(i in seq_along(sample.jsons)){ 
    for(j in seq_along(words)){ 
    # if this condition is TRUE, your criteria is fullfilled 
    if(words[[j]] %in% sample.jsons[[i]]){ 
     # do whatever you want with the jsons which match your criteria 
     # right now the following command just outputs all index values at which the criteria is fulfilled 
     print(i) 
    } 
    } 
} 

Однако я настоятельно рекомендую вам (а) посмотрите на так руководящих принципов и правил, и (б) по крайней основы программирования R перед продолжением. Потому что, если вы этого не сделаете, у вас наверняка будет следующая проблема сразу.

Хорошие места для начала являются:

• The Art of R Programming по Норман Матлофф
• Google's R Styleguide
• Learn R YouTube учебники