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ANALISIS SENTIMEN TWITTER MENGGUNAKAN METODE MAXIMUM ENTROPY

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Penilaian

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Social media is one of the media used by humans to socialize with each other and is done online without being constrained by space and time. The more developed social media, the more public opinion will be on a problem. One of the social media that is often used for opinions is Twitter. Sentiment analysis is a multidisciplinary field of study used to analyze people's sentiments towards an entity. Sentiment analysis can be done using tweet data originating from social media Twitter. This study uses the Maximum Entropy method. Maximum entropy is usually used to determine the polarity of opinion on a sentiment. Maximum Entropy has a predictive modeling algorithm that estimates the most uniform distribution (maximum entropy) starting with a uniform probability distribution and iteratively changing the weights one by one to increase the probability of reaching the optimal probability distribution. The dataset used amounted to 550 data consisting of 495 training data and 55 test data. The dataset used has two labels, namely positive and negative. Based on the results of testing the 55 datasets that have been carried out, the results obtained an accuracy of 53%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307002524	T95480	T954802023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T954802023

Publisher

Inderalaya : Prodi Teknik Komputer, Fakultas Ilmu Komputer, Universitas Sriwijaya., 2023

Collation

xiii, 76 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.754 07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Teknik Komputer
Situs Jejaring Sosial

Specific Detail Info

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Statement of Responsibility

SEPTA

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