PERANCANGAN SISTEM TEMU BALIK INFORMASI DENGAN METODE PEMBOBOTAN KOMBINASI TF-IDF UNTUK PENCARIAN DOKUMEN BERBAHASA INDONESIA
Keywords:
Information retrieval system, natural language processing, term weighting, TF-IDF, query expansionAbstract
Information will be easily to access
especially from internet that has increased the
number of various of digital information. It has
increased need of user about information retrieval
tools, which it can describe the most relevant
document based on user question. Information
retrieval can support in managing and finding
information effectively and efficiently. It designed
to handle searching based on keyword from user.
This implemented query expansion technique and
term weighting method with combination of TFIDF
(term frequency-inverse document frequency).
Query expansion is a method that increases the
term in query for improving search performance.
Term weighting based on combination of TF-IDF
gives more weight for more impotant term. In this
system, searching query add based on synonim of
searching keywords that the result is not only
document which have keywords, but also document
associated with searching keyword based on
thesaurus and root word. This system can find all of
relevant document from available collection.
Searching result sort based on document weight
toward to keywords that depict the similarity of
document with user question that it can be
facilitating user to find information properly
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