Download or read book Naive Bayes Algorithm for Twitter Sentiment Analysis and Its Implementation in MapReduce written by Zhaoyu Li and published by . This book was released on 2014 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data has been growing exponentially in recent years. With the development of information highway, data can be generated and collected very fast, and the data is so large that it has exceeded the limit of our conventional processing methods and applications. The social network is one of many data explosion areas. Among all social network medias, Twitter has become one of the most important platforms to share and communicate with friends. Sentiment analysis aims to determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a document, and the sentiment analysis on Twitter has also been used as a valid indicator of stock prices in the past. Naive Bayes is an algorithm to perform sentiment analysis. MapReduce programming model provides a simple and powerful model to implement distributed applications without having deeper knowledge of parallel programming. When a new hypothetical MapReduce sentiment analysis system is built to provide certain performance goal, we are lack of the benchmark and the traditional trial-and-error solution is extremely time-consuming and costly. In this thesis we implemented a prototype system using Naive Bayes to find the correlation between the geographical sentiment on Twitter and the stock price behavior of companies. Also we implemented the Naive Bayes sentiment analysis algorithm in MapReduce model based on Hadoop, and evaluated the algorithm on large amount of Twitter data with different metrics. Based on the evaluation results, we provided a comprehensive MapReduce performance prediction model for Naive Bayes based sentiment analysis algorithm. The prediction model can predict task execution performance within a window, and can also be used by other MapReduce systems as a benchmark in order to improve the performance.

Download or read book Twitter Data Analysis Using Spark written by Yash Bopardikar and published by . This book was released on 2016 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea is to solve people's dilemma for choosing a certain product or service over other. The objective is to collect data from tweeter feeds on trending topics like various OS, new technologies, different Products etc. and to categories them according to need. This Project would use Scala and Spark cluster. All the Big Data that would be fetched would be collected in MySQL database. Then using the MapReduce API's and Data Mining algorithms data will be classified accordingly. Here we would be using Naïve Bayes Algorithm for Sentimental analysis over the data. Twitter provides a streaming API to stream real time twitter data. This library named Twitter4j is available in python to access Streaming API and download twitter data. The filter on this data is based on a list of keywords supplied. This analysis will employee a distributed data processing system known as Apache Spark using several worker and master nodes. This cluster is scalable and can handle millions of records. To filter out the huge number of data we will use Map reduce technique on Spark. The input file will contain a JSON object for each tweet in data. This file will be uploaded on Spark frame structure. The Spark frame structure will have replicated the structure and distribute to multiple nodes, thus the mapper takes all files presented in the directory and classifies them according to the filter set. These filtered tweets will pass through the data mining algorithms and thus we could observe one to one comparison of data which would be helpful to take tough decisions.

Download or read book Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines written by Management Association, Information Resources and published by IGI Global. This book was released on 2022-06-10 with total page 1980 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rise of internet and social media usage in the past couple of decades has presented a very useful tool for many different industries and fields to utilize. With much of the world’s population writing their opinions on various products and services in public online forums, industries can collect this data through various computational tools and methods. These tools and methods, however, are still being perfected in both collection and implementation. Sentiment analysis can be used for many different industries and for many different purposes, which could better business performance and even society. The Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines discusses the tools, methodologies, applications, and implementation of sentiment analysis across various disciplines and industries such as the pharmaceutical industry, government, and the tourism industry. It further presents emerging technologies and developments within the field of sentiment analysis and opinion mining. Covering topics such as electronic word of mouth (eWOM), public security, and user similarity, this major reference work is a comprehensive resource for computer scientists, IT professionals, AI scientists, business leaders and managers, marketers, advertising agencies, public administrators, government officials, university administrators, libraries, students and faculty of higher education, researchers, and academicians.

Download or read book Computational Intelligence Communications and Business Analytics written by J. K. Mandal and published by Springer. This book was released on 2017-09-22 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set CCIS 775 and 776 constitutes the refereed proceedings of the First International Conference on Computational Intelligence, Communications, and Business Analytics, CICBA 2017, held in Kolkata, India, in March 2017. The 90 revised full papers presented in the two volumes were carefully reviewed and selected from 276 submissions. The papers are organized in topical sections on data science and advanced data analytics; signal processing and communications; microelectronics, sensors, intelligent networks; computational forensics (privacy and security); computational intelligence in bio-computing; computational intelligence in mobile and quantum computing; intelligent data mining and data warehousing; computational intelligence.

Download or read book Handbook of Multimedia Information Security Techniques and Applications written by Amit Kumar Singh and published by Springer. This book was released on 2019-07-19 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook is organized under three major parts. The first part of this handbook deals with multimedia security for emerging applications. The chapters include basic concepts of multimedia tools and applications, biological and behavioral biometrics, effective multimedia encryption and secure watermarking techniques for emerging applications, an adaptive face identification approach for android mobile devices, and multimedia using chaotic and perceptual hashing function. The second part of this handbook focuses on multimedia processing for various potential applications. The chapter includes a detail survey of image processing based automated glaucoma detection techniques and role of de-noising, recent study of dictionary learning based image reconstruction techniques for analyzing the big medical data, brief introduction of quantum image processing and it applications, a segmentation-less efficient Alzheimer detection approach, object recognition, image enhancements and de-noising techniques for emerging applications, improved performance of image compression approach, and automated detection of eye related diseases using digital image processing. The third part of this handbook introduces multimedia applications. The chapter includes the extensive survey on the role of multimedia in medicine and multimedia forensics classification, a finger based authentication system for e-health security, analysis of recently developed deep learning techniques for emotion and activity recognition. Further, the book introduce a case study on change of ECG according to time for user identification, role of multimedia in big data, cloud computing, the Internet of things (IoT) and blockchain environment in detail for real life applications. This handbook targets researchers, policy makers, programmers and industry professionals in creating new knowledge for developing efficient techniques/framework for multimedia applications. Advanced level students studying computer science, specifically security and multimedia will find this book useful as a reference.

Download or read book Recent Findings in Intelligent Computing Techniques written by Pankaj Kumar Sa and published by Springer. This book was released on 2018-11-03 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three volume book contains the Proceedings of 5th International Conference on Advanced Computing, Networking and Informatics (ICACNI 2017). The book focuses on the recent advancement of the broad areas of advanced computing, networking and informatics. It also includes novel approaches devised by researchers from across the globe. This book brings together academic scientists, professors, research scholars and students to share and disseminate information on knowledge and scientific research works related to computing, networking, and informatics to discuss the practical challenges encountered and the solutions adopted. The book also promotes translation of basic research into applied investigation and convert applied investigation into practice.

Download or read book BIG DATA AND ANALYTICS written by Dr. Eng. Imam Tahyudin, MM and published by Zahira Media Publisher. This book was released on 2023-09-27 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook discusses the Problems in Big Data, Big Data Characteristics, Map Reduce Paradigm in Big Data, Various tools used in Big Data, examples of the application of Big Data and Analytics. Related courses / RPS)

Download or read book Sentiment Analysis and Knowledge Discovery in Contemporary Business written by Rajput, Dharmendra Singh and published by IGI Global. This book was released on 2018-08-31 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of social connectedness, people are becoming increasingly enthusiastic about interacting, sharing, and collaborating through online collaborative media. However, conducting sentiment analysis on these platforms can be challenging, especially for business professionals who are using them to collect vital data. Sentiment Analysis and Knowledge Discovery in Contemporary Business is an essential reference source that discusses applications of sentiment analysis as well as data mining, machine learning algorithms, and big data streams in business environments. Featuring research on topics such as knowledge retrieval and knowledge updating, this book is ideally designed for business managers, academicians, business professionals, researchers, graduate-level students, and technology developers seeking current research on data collection and management to drive profit.

Download or read book Sentiment Analysis on Twitter Data Using Machine Learning written by Ravikumar Patel and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In the world of social media people are more responsive towards product or certain events that are currently occurring. This response given by the user is in form of raw textual data (Semi Structured Data) in different languages and terms, which contains noise in data as well as critical information that encourage the analyst to discover knowledge and pattern from the dataset available. This is useful for decision making and taking strategic decision for the future market. To discover this unknown information from the linguistic data Natural Language Processing (NLP) and Data Mining techniques are most focused research terms used for sentiment analysis. In the derived approach the analysis on Twitter data to detect sentiment of the people throughout the world using machine learning techniques. Here the data set available for research is from Twitter for world cup Soccer 2014, held in Brazil. During this period, many people had given their opinion, emotion and attitude about the game, promotion, players. By filtering and analyzing the data using natural language processing techniques, and sentiment polarity has been calculated based on the emotion word detected in the user tweets. The data set is normalized to be used by machine learning algorithm and prepared using natural language processing techniques like Word Tokenization, Stemming and lemmatization, POS (Part of speech) Tagger, NER (Name Entity recognition) and parser to extract emotions for the textual data from each tweet. This approach is implemented using Python programming language and Natural Language Toolkit (NLTK), which is openly available for academic as well as for research purpose. Derived algorithm extracts emotional words using WordNet with its POS (Part-of-Speech) for the word in a sentence that has a meaning in current context, and is assigned sentiment polarity using 'SentWordNet' Dictionary or using lexicon based method. The resultant polarity assigned is further analyzed using Naïve Bayes and SVM (support vector Machine) machine learning algorithm and visualized data on WEKA platform. Finally, the goal is to compare both the results of implementation and prove the best approach for sentiment analysis on social media for semi structured data.

Download or read book Communication Cloud and Big Data written by Hiren Kumar Deva Sarma and published by ACCB Publishing. This book was released on 2014-12-31 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis of big data is becoming a hot stuff for engineers, researchers and business enterprises now a days. It refers to the process of collecting, organizing and analyzing large sets of data to discover hidden patterns and other useful information. Not solely can massive information analytics assist to know the knowledge contained inside the information, however it will additionally facilitate to determine the information that is most significant to the business and future business choices. Cloud computing is the type of computing that relies on sharing computing resources rather than having local servers or personal devices to handle applications. Cloud computing aims at applying traditional supercomputing, or high-performance computing power to perform tens of trillions of computations per second, in consumer-oriented applications such as financial portfolios, to deliver personalized information, to provide data storage etc. Since big data places on networks, storage and servers, requirements arise to analyse this huge amount data on the cloud. Even cloud providers also welcome this new business opportunity of supporting big data analysis in the cloud. But in the same time they are facing various, architectural and technical hurdles. Therefore, big data analysis in cloud attacting many researchers now a days. The National Conference on Communication, Cloud and Big Data (CCB) 2014 organized by Department of Information Technology, SMIT has received keen response from researchers across the country. Each paper went through reviews process and finally, 30 papers were selected for presentation. The papers are an even mix of research topics from the fields of Communication, Cloud and Big Data and its applications in various fields of engineering and science.

Download or read book Big Data Benchmarks Performance Optimization and Emerging Hardware written by Jianfeng Zhan and published by Springer. This book was released on 2016-01-28 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly revised selected papers of the 6th workshop on Big Data Benchmarks, Performance Optimization, and Emerging Hardware, BPOE 2015, held in Kohala Coast, HI, USA, in August/September 2015 as satellite event of VLDB 2015, the 41st International Conference on Very Large Data Bases. The 8 papers presented were carefully reviewed and selected from 10 submissions. The workshop focuses on architecture and system support for big data systems, aiming at bringing researchers and practitioners from data management, architecture, and systems research communities together to discuss the research issues at the intersection of these areas. This book also invites three papers from several industrial partners, including two papers describing tools used in system benchmarking and monitoring and one paper discussing principles and methodologies in existing big data benchmarks.

Download or read book Twitter Sentiment Analysis Using N Gram With Naive Bayes Classifier written by Rajat Kumar Arya and published by . This book was released on 2020 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this current period, online life assumes a significant job in information trade, sharing their contemplation. Enthusiastic Effect of an individual keeps up a significant job on their everyday life. Assessment Analysis is a strategy of breaking down the feelings and extremity of considerations of the individual. Twitter is a primary stage on sharing the thought's, supposition and estimations on various events. Twitter Sentimental Analysis is strategy for investigating the feelings from tweets (message posted by client in twitter). Tweets are useful in extricating the Sentimental qualities from the client. The information give the Polarity sign like positive, negative or fair-minded qualities. It is centered around the individual's tweets and the hash labels for understanding the circumstances in every part of the rules. The paper is to investigate the celebrated individual's id's or hash labels for understanding the outlook of individuals in every circumstance when the individual has tweeted or has followed up on certain occurrences. The proposed framework is to break down the conclusion of the individuals utilizing python, twitter API, Unigrams + Bigrams + Trigrams, prepared on Naive Bayes Classifier. As the outcomes it serves to investigation the post with a superior precision.

Download or read book Intelligent System Design written by Suresh Chandra Satapathy and published by Springer Nature. This book was released on 2020-08-10 with total page 865 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of high-quality, peer-reviewed research papers from the 6th International Conference on Information System Design and Intelligent Applications (INDIA 2019), held at Lendi Institute of Engineering & Technology, India, from 1 to 2 November 2019. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing and cognitive computing.

Download or read book International Conference on Intelligent Computing and Smart Communication 2019 written by Geetam Singh Tomar and published by Springer Nature. This book was released on 2020-01-07 with total page 1635 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers high-quality research papers presented at the First International Conference, ICSC 2019, organised by THDC Institute of Hydropower Engineering and Technology, Tehri, India, from 20 to 21 April 2019. The book is divided into two major sections – Intelligent Computing and Smart Communication. Some of the areas covered are Parallel and Distributed Systems, Web Services, Databases and Data Mining Applications, Feature Selection and Feature Extraction, High-Performance Data Mining Algorithms, Knowledge Discovery, Communication Protocols and Architectures, High-speed Communication, High-Voltage Insulation Technologies, Fault Detection and Protection, Power System Analysis, Embedded Systems, Architectures, Electronics in Renewable Energy, CAD for VLSI, Green Electronics, Signal and Image Processing, Pattern Recognition and Analysis, Multi-Resolution Analysis and Wavelets, 3D and Stereo Imaging, and Neural Networks.

Download or read book Data Algorithms written by Mahmoud Parsian and published by "O'Reilly Media, Inc.". This book was released on 2015-07-13 with total page 778 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as building a recommendation system. You’ll learn how to implement the appropriate MapReduce solution with code that you can use in your projects. Dr. Mahmoud Parsian covers basic design patterns, optimization techniques, and data mining and machine learning solutions for problems in bioinformatics, genomics, statistics, and social network analysis. This book also includes an overview of MapReduce, Hadoop, and Spark. Topics include: Market basket analysis for a large set of transactions Data mining algorithms (K-means, KNN, and Naive Bayes) Using huge genomic data to sequence DNA and RNA Naive Bayes theorem and Markov chains for data and market prediction Recommendation algorithms and pairwise document similarity Linear regression, Cox regression, and Pearson correlation Allelic frequency and mining DNA Social network analysis (recommendation systems, counting triangles, sentiment analysis)

Download or read book Iaeng Transactions On Engineering Sciences Special Issue For The International Association Of Engineers Conferences 2019 written by Ao Sio-iong and published by World Scientific. This book was released on 2020-01-08 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: An international conference on Advances in Engineering Sciences was held in Hong Kong, March 13-15, 2019, under the International MultiConference of Engineers and Computer Scientists (IMECS 2019). This unique compendium contains 12 revised and extended research articles written by prominent researchers participating in the conferences. Topics covered include engineering physics, computer science, electrical engineering, industrial engineering, and industrial applications. The volume offers state-of-the-art advances in engineering sciences and also serves as an excellent reference material for researchers and graduate students working with/on engineering sciences.

Download or read book Data Mining for Tweet Sentiment Classification written by Roy de Groot and published by LAP Lambert Academic Publishing. This book was released on 2012 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this work is to classify short Twitter messages with respect to their sentiment using data mining techniques. Twitter messages, or tweets, are limited to 140 characters. This limitation makes it more difficult for people to express their sentiment and as a consequence, the classification of the sentiment will be more difficult as well. The sentiment can refer to two different types: emotions and opinions. This research is solely focused on the sentiment of opinions. These opinions can be divided into three classes: positive, neutral and negative. The tweets are then classified with an algorithm to one of those three classes. Known supervised learning algorithms as support vector machines and naive Bayes are used to create a prediction model. Before the prediction model can be created, the data has to be pre-processed from text to a fixed-length feature vector. The features consist of sentiment-words and frequently occurring words that are predictive for the sentiment. The learned model is then applied to a test set to validate the model.