Results 241 to 250 of about 73,492 (280)

Partner Recommendation Using Naive Bayes Classifier

2023
Abstract— The goal of this project is to build a recommendation model which categories users according to their interests, partner preference, and other characteristics using machine learning techniques like the Naive Bayes Classifier (NBC). The initial step is to gather user information, such as profiles and preferences.
Architha Mol U K, Anit James
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Sentimental Analysis using Naive Bayes Classifier

2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN), 2019
Sentimental Analysis is mainly meant for classifying the text based on its polarity. Opinion Mining is one of the major categories in sentimental analysis. Opinion of any user in buying a product or rating a movie contributes highly to the product or movie For example: If a movie is given various levels of star rating, then the other audience who think
Prabha PM Surya, B Subbulakshmi
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Generalized Naive Bayes Classifiers

ACM SIGKDD Explorations Newsletter, 2005
This paper presents a generalization of the Naive Bayes Classifier. The method is specifically designed for binary classification problems commonly found in credit scoring and marketing applications. The Generalized Naive Bayes Classifier turns out to be a powerful tool for both exploratory and predictive analysis.
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Learning an Optimal Naive Bayes Classifier

18th International Conference on Pattern Recognition (ICPR'06), 2006
The naive Bayes classifier is an efficient classification model that is easy to learn and has a high accuracy in many domains. However, it has two main drawbacks: (i) its classification accuracy decreases when the attributes are not independent, and (ii) it can not deal with nonparametric continuous attributes.
M. Martinez-Arroyo, L.E. Sucar
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Fake news Detection Using Naive Bayes Classifier

Journal of Management and Service Science (JMSS), 2022
Fake news has been on the rise thanks to rapid digitalization across all platforms and mediums. Many governments throughout the world are attempting to address this issue. The use of Natural Language Processing and Machine Learning techniques to properly identify fake news is the subject of this research.
Rahul Srivastava, Pawan Singh
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An Implementation of Naive Bayes Classifier

2018 International Conference on Computational Science and Computational Intelligence (CSCI), 2018
The necessity of classification is highly demanded in real life. As a mathematical classification approach, the Naive Bayes classifier involves a series of probabilistic computations for the purpose of finding the best-fitted classification for a given piece of data within a problem domain.
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Classification of medicines using naive bayes classifier

Research Journal of Pharmacy and Technology, 2018
In data mining there is a function called classification that assigns items into groups based on their similarities. These classification techniques are used in many real time applications to classify the data. In pharmaceutical industries all the new medicines need to get approval from Food and Drug administration (FDA) before bringing them into the ...
Baisani Indraja, K Annapurani
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Bangla news classification using naive Bayes classifier

16th Int'l Conf. Computer and Information Technology, 2014
Web is gigantic and being constantly update. Bangla news in web are rapidly grown in the era of information age where each news site has its own different layout and categorization for grouping news. These heterogeneity of layout and categorization can not always satisfy individual user's need.
Abu Nowshed Chy, Md. Hanif Seddiqui, Sowmitra Das   +2 more
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Sentiment Analysis Using Naive Bayes Classifier

Abstract— Sentiment analysis, a subfield of natural language processing, plays a vital role in understanding public opinion and sentiment towards products, services, or events. In this study, we explore the field of sentiment analysis with a special emphasis on the use of machine learning techniques to classify the sentiments set in textual data.
Ann Mary Ajith, Gloriya Mathew
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Optimizing MapReduce Partitioner Using Naive Bayes Classifier

2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 2017
Data locality and data skew on the reduce side are two essential issues in MapReduce. Improving data locality can decrease network traffic by moving reduce tasks to the nodes where the input data of reduce tasks is located. Data skew will lead to load imbalance among reducer nodes.
Lei Chen, Wei Lu, Liqiang Wang, Ergude Bao, Weiwei Xing, Yong Yang, Victor Yuan   +6 more
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