Analisis Sentimen Review Film Menggunakan TF-IDF dan Support Vector Machine
نویسندگان
چکیده
Intisari—Dengan kemajuan teknologi saat ini seluruh informasi tentang semua film sudah tersedia di Internet. Jika dikelola dengan baik maka dapat memberikan manfaat berupa yang berguna untuk membantu individu atau organisasi mengambil keputusan. Penelitian bertujuan menjelaskan analisis sentimen pada dokumen film. Metode digunakan penelitian adalah TF-IDF (Term Frequency-Inverse Document Frequency) dan SVM (Support Vector Machine) . dipilih karena mampu melakukan pembobotan terhadap kata mengklasifikasikan data berdimensi tinggi. Dari uji skenario dilakukan, diketahui bahwa algoritma kasus review nilai Accuracy 85%, Precision 100%, Recall 70%, F1-Score sebesar 82%.
منابع مشابه
Intrusion Detection Using a Hybrid Support Vector Machine Based on Entropy and Tf-idf
The main functions of an Intrusion Detection System (IDS) are to protect computer networks by analyzing and predicting the actions of processes. Though IDS has been developed for many years, the large number of alerts makes the system inefficient. In this paper, we proposed a classification method based on Support Vector Machines (SVM) with a weighted voting schema to detect intrusions. First, ...
متن کاملAnalisis Sentimen Review Produk Kosmetik Melalui Komparasi Feature Selection
Sentiment analysis is a computational study of the opinions, behaviors and emotions of people toward the entity. The entity describes the individuals, events or topics. That topics generally could be the review of diverse datasets, one of which is a product review. By reading the review of products based on the experiences of other consumers, it will be recognized the quality of a product. It g...
متن کاملAnalisis dan Sintesis Sinyal Suara
Audio signal information with high quality would help the television audience to increase the perception of the information displayed. Transmission channel capacity will become limited, while the need of channel communication is increased. The research aim is coding the audio signal on the low bit rate for saving the channel communication usage for digital television broadcasting. The research ...
متن کاملSentiment Analisis on Web-based Reviews using Data Mining and Support Vector Machine
This work aims to use sentiment analysis techniques, data mining, text mining and natural language processing to indicate the polarity of texts using support vector machine. Weka software and a movie review database from Internet Movie Database IMDb were used. This work uses preprocessing filters and WRAPPER techniques and Support Vector Machine (SVM) for classification. It presents better resu...
متن کاملClustering scRNA-Seq Data using TF-IDF
In this abstract, we propose several computational approaches for clustering scRNA-Seq data based on the Term Frequency Inverse Document Frequency (TF-IDF) transformation that has been successfully used in the field of text analysis. Empirical evaluation on simulated cell mixtures with different levels of complexity suggests that the TF-IDF methods consistently outperform existing scRNA-Seq clu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Information Technology
سال: 2022
ISSN: ['2775-6734']
DOI: https://doi.org/10.46229/jifotech.v2i1.330