Mesopotamian Journal of Big Data最新文献

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A Review on Big Data Sentiment Analysis Techniques 大数据情感分析技术综述

Mesopotamian Journal of Big Data Pub Date : 2021-01-15 DOI: 10.58496/mjbd/2021/002

Raed Abdulkareem Hasan, T. Sutikno

{"title":"A Review on Big Data Sentiment Analysis Techniques","authors":"Raed Abdulkareem Hasan, T. Sutikno","doi":"10.58496/mjbd/2021/002","DOIUrl":"https://doi.org/10.58496/mjbd/2021/002","url":null,"abstract":"The areas of Natural Language Processing, Text Analysis, Text Preprocessing, Stemming, etc. are the most important study fields at the moment. Sentiment analysis is employed for all of these areas. Study of sentiment is performed by using a variety of methods and tools to the task of analyzing unstructured data in such a way that it is possible to get objective findings from the analysis of said data. These methods, in their most fundamental form, make it possible for a computer to comprehend what a human person is saying. A variety of methods are utilized in the process of sentiment analysis in order to assess the attitude conveyed by a given text or sentence. A machine learning approach and a lexicon-based approach are the two primary categories into which it may be divided, depending on which method was used to develop it. For the purpose of gaining insights into the market and improving performance, businesses utilize sentiment analysis. The use of sentiment analysis in the process of developing a smart society is enormous, and there is a pressing need to define the trend in a comprehensive manner. The fundamental objective of this study is to present an in-depth investigation of the several platforms that are now accessible for the execution of Big Data Sentiment Analysis Methods. This study examines the various hardware platforms that are currently available for big data analytics and evaluates the benefits and drawbacks of each of these platforms based on a number of different metrics, including scalability, data I/O rate, fault tolerance, real-time processing, data size supported, and iterative task support.","PeriodicalId":325612,"journal":{"name":"Mesopotamian Journal of Big Data","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116813585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Big Data Sentiment Analysis of Twitter Data 推特数据的大数据情感分析

Mesopotamian Journal of Big Data Pub Date : 2021-01-15 DOI: 10.58496/mjbd/2021/001

A. Ali, H. Kumar, Ping Jack Soh

{"title":"Big Data Sentiment Analysis of Twitter Data","authors":"A. Ali, H. Kumar, Ping Jack Soh","doi":"10.58496/mjbd/2021/001","DOIUrl":"https://doi.org/10.58496/mjbd/2021/001","url":null,"abstract":"The term \"big data\" is becoming increasingly common these days. The amount of data generated is directly proportional to the amount of time spent on social media each day. The majority of users consider Twitter to be one of the most popular social networking platforms. The rise of social media has sparked an incredible amount of curiosity among those who use the internet nowadays. The information collected from these social networking sites may be put to a variety of uses, including forecasting, marketing, and the study of user sentiment. Twitter is a social media platform that is commonly used for making remarks in the form of brief status updates. A sentiment analysis may be performed on some or all of the millions of tweets that are received each year. Managing such a massive volume of unstructured data, on the other hand, is a laborious effort to do. To effectively manage large amounts of data, the analytics tools and models that are now on the market are insufficiently equipped and positioned. For this reason, it is essential to make use of a cloud storage solution for the applications of this kind. As a result, we have used Hadoop for the intelligent analysis as well as the storing of large amounts of data. In this article, we offer a system that does sentiment analysis on tweets using the Cloud.","PeriodicalId":325612,"journal":{"name":"Mesopotamian Journal of Big Data","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126748095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

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