CAMPUS SENTIMENT ANALYSIS E-COMPLAINT USING PROBABILISTIC NEURAL NETWORK ALGORITHM
E-complaint is one of the technologies which is used to collect feedback from customers in the form of criticism and suggestions using electronic systems. For some companies or agencies, ecomplaint is used to provide better services to its customers. This study is aimed to perform sentiment analysi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Informatics Department, Engineering Faculty
2016-07-01
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| Series: | Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi |
| Subjects: | |
| Online Access: | https://kursorjournal.org/index.php/kursor/article/view/88 |
| _version_ | 1797743951476686848 |
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| author | Mohammad Zoqi Sarwani Wayan Firdaus Mahmudy |
| author_facet | Mohammad Zoqi Sarwani Wayan Firdaus Mahmudy |
| author_sort | Mohammad Zoqi Sarwani |
| collection | DOAJ |
| description |
E-complaint is one of the technologies which is used to collect feedback from customers in the form of criticism and suggestions using electronic systems. For some companies or agencies, ecomplaint is used to provide better services to its customers. This study is aimed to perform sentiment analysis of an e-complaint service, with the case of Brawijaya University. There are three main stages for the proposed system, i.e. Text Preprocessing, Text Weighting, and PNN for
the classification. Tokenization, filtering, and stemming are done in the text preprocessing. Resulted text from the preprocessing stage is weighting using Term Inverse Document Frequent (TFIDF). To classify the negative or positive complaints, PNN are used in the last stage. For the experiments, 70 data are used as the training data, and 20 data are used as the testing data. The experimental results based on the combination of the number of training and testing dataset, showed that the accuracy achieved up to 90%.
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| first_indexed | 2024-03-12T15:02:54Z |
| format | Article |
| id | doaj.art-dfd7353394474faabd15bd384131aa9f |
| institution | Directory Open Access Journal |
| issn | 0216-0544 2301-6914 |
| language | English |
| last_indexed | 2024-03-12T15:02:54Z |
| publishDate | 2016-07-01 |
| publisher | Informatics Department, Engineering Faculty |
| record_format | Article |
| series | Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi |
| spelling | doaj.art-dfd7353394474faabd15bd384131aa9f2023-08-13T20:42:44ZengInformatics Department, Engineering FacultyJurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi0216-05442301-69142016-07-018310.28961/kursor.v8i3.88CAMPUS SENTIMENT ANALYSIS E-COMPLAINT USING PROBABILISTIC NEURAL NETWORK ALGORITHMMohammad Zoqi Sarwani0Wayan Firdaus Mahmudy1Magister Ilmu Komputer/Informatika Universitas BrawijayaMagister Ilmu Komputer/Informatika Universitas Brawijaya E-complaint is one of the technologies which is used to collect feedback from customers in the form of criticism and suggestions using electronic systems. For some companies or agencies, ecomplaint is used to provide better services to its customers. This study is aimed to perform sentiment analysis of an e-complaint service, with the case of Brawijaya University. There are three main stages for the proposed system, i.e. Text Preprocessing, Text Weighting, and PNN for the classification. Tokenization, filtering, and stemming are done in the text preprocessing. Resulted text from the preprocessing stage is weighting using Term Inverse Document Frequent (TFIDF). To classify the negative or positive complaints, PNN are used in the last stage. For the experiments, 70 data are used as the training data, and 20 data are used as the testing data. The experimental results based on the combination of the number of training and testing dataset, showed that the accuracy achieved up to 90%. https://kursorjournal.org/index.php/kursor/article/view/88Probabilistic Neural NetworkPNNE-ComplaintTF/IDF |
| spellingShingle | Mohammad Zoqi Sarwani Wayan Firdaus Mahmudy CAMPUS SENTIMENT ANALYSIS E-COMPLAINT USING PROBABILISTIC NEURAL NETWORK ALGORITHM Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi Probabilistic Neural Network PNN E-Complaint TF/IDF |
| title | CAMPUS SENTIMENT ANALYSIS E-COMPLAINT USING PROBABILISTIC NEURAL NETWORK ALGORITHM |
| title_full | CAMPUS SENTIMENT ANALYSIS E-COMPLAINT USING PROBABILISTIC NEURAL NETWORK ALGORITHM |
| title_fullStr | CAMPUS SENTIMENT ANALYSIS E-COMPLAINT USING PROBABILISTIC NEURAL NETWORK ALGORITHM |
| title_full_unstemmed | CAMPUS SENTIMENT ANALYSIS E-COMPLAINT USING PROBABILISTIC NEURAL NETWORK ALGORITHM |
| title_short | CAMPUS SENTIMENT ANALYSIS E-COMPLAINT USING PROBABILISTIC NEURAL NETWORK ALGORITHM |
| title_sort | campus sentiment analysis e complaint using probabilistic neural network algorithm |
| topic | Probabilistic Neural Network PNN E-Complaint TF/IDF |
| url | https://kursorjournal.org/index.php/kursor/article/view/88 |
| work_keys_str_mv | AT mohammadzoqisarwani campussentimentanalysisecomplaintusingprobabilisticneuralnetworkalgorithm AT wayanfirdausmahmudy campussentimentanalysisecomplaintusingprobabilisticneuralnetworkalgorithm |