MOBA GAME REVIEW SENTIMENT ANALYSIS USING SUPPORT VECTOR MACHINE ALGORITHM

نویسندگان

چکیده

MOBA as one of the many popular subgenres today, Mobile Legend, Arena Valor, League Legend and Lokapala based on large number downloads can be mentioned games, but rating these four applications is below 4.0 Google Play platform Store, this happens because some users may think that mobile game has several advantages, also disadvantages affect ratings. This study aims to determine results sentiment analysis games using Store reviews. Then it processed Python programming create a model with linear kernel Support Vector Machine (SVM) algorithm classify dataset. From classification test 19,579 data, where there were 10,017 positive data 9,562 negative distribution train was 70%: 30%, obtained an accuracy 82.64% then re-evaluated Cross Validation method 5 times so 83.38% obtained Keywords: MOBA, Sentiment Analysis, Learning, SVM,

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Forecasting Stock Price Movements Based on Opinion Mining and Sentiment Analysis: An Application of Support Vector Machine and Twitter Data

Today, social networks are fast and dynamic communication intermediaries that are a vital business tool. This study aims at examining the views of those involved with Facebook stocks so that we can summarize their views to predict the general behavior of this stock and collectively consider possible Facebook stock price movements, and create a more accurate pattern compared to previous patterns...

متن کامل

Heart Rate Variability Classification using Support Vector Machine and Genetic Algorithm

Background: Electrocardiogram (ECG) is defined as an electrical signal, which represents cardiac activity. Heart rate variability (HRV) as the variation of interval between two consecutive heartbeats represents the balance between the sympathetic and parasympathetic branches of the autonomic nervous system.Objective: In this study, we aimed to evaluate the efficiency of discrete wavelet transfo...

متن کامل

Feature Selection Using Multi Objective Genetic Algorithm with Support Vector Machine

Different approaches have been proposed for feature selection to obtain suitable features subset among all features. These methods search feature space for feature subsets which satisfies some criteria or optimizes several objective functions. The objective functions are divided into two main groups: filter and wrapper methods.  In filter methods, features subsets are selected due to some measu...

متن کامل

One-Class Support Vector Machine for Sentiment Analysis of Movie Review Documents

Sentiment analysis means to classify a given review document into positive or negative polar document. Sentiment analysis research has been increased tremendously in recent times due to its large number of applications in the industry and academia. Sentiment analysis models can be used to determine the opinion of the user towards any entity or product. E-commerce companies can use sentiment ana...

متن کامل

Using Wavelet Support Vector Machine for Fault Diagnosis of Gearboxes

Identifying fault categories, especially for compound faults, is a challenging task in mechanical fault diagnosis. For this task, this paper proposes a novel intelligent method based on wavelet packet transform (WPT) and multiple classifier fusion. An unexpected damage on the gearbox may break the whole transmission line down. It is therefore crucial for engineers and researchers to monitor the...

متن کامل

ذخیره 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: JIKO (Jurnal Informatika dan Komputer)

سال: 2023

ISSN: ['2656-1948', '2614-8897']

DOI: https://doi.org/10.33387/jiko.v6i2.6388