We Provide,

This is an explanation of the functions of “Korean_NLP_Visual”.

• Tokenization considering proper nouns
  • It makes it easy to designate proper nouns that existing libraries do not recognize so that they can be reflected in tokenization results.
  • If there are multiple proper nouns, you can prioritize by scoring for each noun.
• Removing duplicate nouns
  • It shows the results by removing duplicate nouns according to the user’s needs.
• Counting the number of nouns
  • You can quickly check the frequency of certain nouns.
• [In progress] Visualizing
  • The tokenized results are displayed in word clouds and bar graphs according to the frequency to help analyze the text.