How to Use

1. Install required libraries

2. Download the code

3. Place the downloaded code in the same location as the py file to be used

4. Select konlpy’s tokenizer to use by default and import

   from korea_nlp import korea_nlp_kkma
   from korea_nlp import korea_nlp_komoran
   from korea_nlp import korea_nlp_twitter
   

5. Use the required function after creating the tokenizer

   from korea_nlp import korea_nlp_kkma
   kkma = korea_nlp_kkma.Tokenizer()
   

   • Tokenize() : word tokenization

     kkma.tokenize(sentence,scores)
     

   • NounExtractor() : noun tokenization

     kkma.noun_extract(sentence,scores)
     

   • Noun_Extractor_dup() : tokenization after removing duplicate nouns

     kkma.noun_extract_dup(sentence,scores)
     

   • NounCounter() : measure the number of specific words

     kkma.noun_counter(sentence,scores,word)
     

   • Make_Noun_Wordcloud() : create a 50 word cloud with high frequency

     kkma.make_noun_wordcloud(sentence,scores)