Rapid Automatic Keyword Extraction and Word Frequency in Scientific Article Keywords Extraction

Research is one activity that has to be conducted by lecturers or researchers. In fact, they usually deliver articles regarding the research that has been conducted. Scientific articles that are produced by researchers have keywords to represent their contents. The selection of keywords that have been used in scientific articles sometimes does not match the whole content. Selection of keywords will be easier if assisted by a keyword extraction system. Due to the keywords that can be used in searching articles on search engines as a reference, keywords take an important part in the article. Some methods that can be used to extract keywords from one article are word frequency and RAKE (Rapid Automatic Keyword Extraction). Both methods are combined to get more accurate in extracting keywords from an article. This combination is implemented using python programming language and tested using several articles taken randomly from the internet. The research consists of several processes namely, theoretical analysis, design, implementation, and testing. The program was created in the form of a keyword extraction website and tested from the validity of the resulting keywords. An obtained result from the whole process of the research, that is the application could produce some proper keywords in the form of phrases and words. It is better than the keywords that resulted with one method either word frequency or RAKE.