Rio, Firnadi and , Endang Wahyu Pamungkas, S.Kom, M.Kom. (2017) Pendeteksian Ambiguitas Makna Kata Untuk Meningkatkan Akurasi Sentimen Analisa Dengan Menggunakan Algoritma Similaritas Wu dan Palmer. Diploma thesis, Universitas Muhammadiyah Surakarta.
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Abstract
Nowadays, almost all the needs of human information can be obtained only by accessing web pages. In fact, almost all daily necessities can also be obtained by utilizing various digital technologies . Increasing of internet user , had effect a lot of information can be collected. From this information we can identify or analyze word sentence is good or bad. In this case sentiment analysis is needed to identification of these sentences. More the sentences of information have ambiguous. Ambiguous is a phenomenon in the use of language refers to a phrase more than one. Despite the fact that the ambiguity in the language is an important part of the language, is often an obstacle for a human to understand a sentence. In this case, to produce the appropriate meaning of the sentence ambiguous. Using this method we get an increase of precision, recall, and accuracy values. Of the precision values experienced increased by 0,06 until 0,08. Recall value increased by 0,22 until 0,24. And the accuracy value increased by 0,04 until 0,06. Can be used from the increased value that occurs then method Wu & Palmer is more effective to use. Make research using the algorithm method similarity Wu & Palmer. In this case the research is expected to aid in particular regard to sentiment analysis on ambiguity sentence by Wu & Palmer method.
| Item Type: | Karya ilmiah (Diploma) |
|---|---|
| Uncontrolled Keywords: | sentiment analysis, SentiWordNet, Wu & Palmer |
| Subjects: | T Technology > T Technology (General) T Technology > TN Mining engineering. Metallurgy |
| Divisions: | Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika |
| Depositing User: | FIRNADI RIO |
| Date Deposited: | 11 Aug 2017 06:51 |
| Last Modified: | 11 Aug 2017 06:51 |
| URI: | http://eprints.ums.ac.id/id/eprint/55233 |
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