Human Behavior Analysis Using Big Data Analatics

Human Behavior Analysis Using Big Data Analatics

Registration ID: IJNRD_214620

Published ID: IJNRD2403318

DOI: Click Here to Get

Peela Monisha , Sasi Preetham Bharadwaja , Rayi Akhil

In the era of artificial intelligence (AI) and big data science, big data analysis is a developing pattern. Although analysing organised data has shown to be quite beneficial, utilising social media data to analyse human behaviour becomes more difficult. A wide variety of unstructured data sources, such as likes, comments, tweets, shares, and views, make up media data. With billions of daily users and enormous amounts of comments, likes, and views, firms like Dailymotion found it difficult to analyse social media data. Data from social media is produced quickly and in large quantities. A significant amount of data needs to be stored, sorted, processed, and thoroughly examined in order to make any judgements. In order to analyse the massive social media datasets in an effective and rational manner, this paper suggests an architecture that makes use of a big data analytics technique. Three levels make up the suggested architecture. The project's primary goal is to showcase the distributed framework and parallel processing capabilities of Apache Spark in conjunction with additional processing and storage systems. This article uses Dailymotion's social media data to illustrate the advantages of this design. The project made use of Dailymotion's application programming interface (API), which enabled it to include features for retrieving and viewing data. To retrieve text files containing information from the public channel, an API key must be generated. Apache Spark is used in conjunction with hive storage machinist to process data efficiently.

Published Paper   E-Certificate

"Human Behavior Analysis Using Big Data Analatics", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 3, page no.d128-d132, March-2024, Available :https://ijnrd.org/papers/IJNRD2403318.pdf

Volume 9 Issue 3, March-2024

Pages : d128-d132

Paper Reg. ID: IJNRD_214620

Published Paper Id: IJNRD2403318

Downloads: 000121231

Research Area: Electronics & Communication Engg. 

Country: Visakhapatnam, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403318.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403318

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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