Hoax Web Detection For News in Bahasa Using Support Vector Machine

Rahmat, Muhammad Abdillah; Indrabayu, -; Areni, Intan Sari

doi:10.1109/icoiact46704.2019.8938425

Cited by 9 publications

(9 citation statements)

References 5 publications

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“…Algorithm that applies to Support Vector Machine (SVM). The results obtained from this study are accurate at 85% (Rahmat and Areni, 2019). This study contains the implementation of the Support Vector Machine (SVM) algorithm for classification of Indonesian news.…”

Section: Literature Reviewmentioning

confidence: 72%

“…Of the several classification techniques that are most often used is the Support Vector Machines (SVM) method. Previous research related to hoaxes was carried out by Rahmat and Areni (2019) who did the detection of hoax news using the Support Vector Machines (SVM) method with 100 training data and 20 test data resulting in an accuracy of 85%. Likewise, research conducted by Honakan et al (2018) who analyzed and implemented the Support Vector Machine method with the Kernel String in Classifying Indonesian News by grouping news into 3 parts or classes, namely government, economy and sports resulted in an accuracy of 47.43%.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Hoax Classification Corona Virus (COVID-19) News in Indonesian using the Support Vector Machine (SVM) Method

Utomo¹,

Prayoga²

2021

Journal of Computer Science

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The development of information technology more widely, rapidly and quickly provide convenience to the public in access information. Internet is a container or online media makes the information hasn't been verified or proved to be true which is rapidly spreading in the community. The purpose of this study is to facilitate in determining the hoax news or facts about corona virus in Indonesia and appoint the performance text mining classification with SVM algorithm. Stages The hoax classification process is carried out with the preprocessing then weighting is carried out using TF-IDF method and classified using the support vector machine algorithm then tested by cross validation and k-folds testing. The data used in this study consisted of 535 text message containing information about facts and news text 425 contains information on hoaxes. The results obtained on testing the highest accuracy to 7 on the k-fold 9 with accuracy of 83.82%. Thus, the SVM algorithm can be used in the classification of Corona Virus Hoax news or COVID-19.

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Section: Literature Reviewmentioning

confidence: 72%

Section: Introductionmentioning

confidence: 99%

Hoax Classification Corona Virus (COVID-19) News in Indonesian using the Support Vector Machine (SVM) Method

Utomo¹,

Prayoga²

2021

Journal of Computer Science

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“…This method is also known to be efficient, easy and has accurate results [21]. The TF and IDF values for each token (word) in each document in the corpus would be computed by applying this method [22]. In simple terms, the TF-IDF method is used to find out how often a word appears in a document.…”

Section: Materials and Methods 21 Tf-idfmentioning

confidence: 99%

The effect of the TF-IDF algorithm in times series in forecasting word on social media

Lubis

Nasution

Sitompul

et al. 2021

IJEECS

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Forecasting is one of the main topics in data mining or machine learning in which forecasting, a group of data used, has a label class or target. Thus, many algorithms for solving forecasting problems are categorized as supervised learning with the aim of conducting training. In this case, the things that were supervised were the label or target data playing a role as a 'supervisor' who supervise the training process in achieving a certain level of accuracy or precision. Time series is a method that is generally used to forecast based on time and can forecast words in social media. In this study had conducted the word forecasting on twitter with 1734 tweets which were interpreted as weighted documents using the TF-IDF algorithm with a frequency that often comes out in tweets so the TF-IDF value is getting smaller and vice versa. After getting the word weight value of the tweets, a time series forecast was performed with the test data of 1734 tweets that the results referred to 1203 categories of Slack words and 531 verb tweets as training data resulting in good accuracy. The division of word forecasting was classified into two groups i.e. inactive users and active users. The results obtained were processed with a MAPE calculation process of 50% for inactive users and 0.1980198% for active users.

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“…Research on hoax news detection [13] using the SVM model. Accuracy obtained using TF-IDF is 85%, with 90% for Non-Hoax labels and 80% for hoax labels.…”

Section: Previous Workmentioning

confidence: 99%

“…research not compare the performance of NB with several scenarios. SVM [13] Average accuracy of SVM model testing has an accuracy of 85%.…”

Section: Thismentioning

confidence: 99%

Covid-19 Hoax Detection Using KNN in Jaccard Space

Utami¹,

Iskandar²,

Hidayat³

et al. 2021

Indonesian J. Comput. Cybern. Syst.

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Social media has become a communication key to spark thinking, dialogue and action around social issues. Hoax is information that added or subtracted from the content of the actual news. The spread of unconfirmed Covid-19 news can cause public concern. The purpose of this research was to modify KNN with Jaccard Space in the classification of hoax news related to Covid-19. The data used from Jabar Saber Hoaks and Jala Hoaks. The classification results with KNN with Jaccard Space and stemming Nazief & Adriani get the highest accuracy than other models in this research. The accuracy of the KNN model on the Jaccard Space with stemming Nazief & Adriani and K = 5 was 75.89%, while for Naïve Bayes was 65.18%.

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Hoax Web Detection For News in Bahasa Using Support Vector Machine

Cited by 9 publications

References 5 publications

Hoax Classification Corona Virus (COVID-19) News in Indonesian using the Support Vector Machine (SVM) Method

Hoax Classification Corona Virus (COVID-19) News in Indonesian using the Support Vector Machine (SVM) Method

The effect of the TF-IDF algorithm in times series in forecasting word on social media

Covid-19 Hoax Detection Using KNN in Jaccard Space

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