Big Data refers to the highly growing digital data collections that involve data with different formats, including structured, semi-structured, and unstructured datasets. Analyzing these combinations requires capabilities beyond the traditional database management systems' abilities. Among most sources of big data appears e-markets and social media platforms as significant contributors. This distinction is due to its features that facilitate consumers to express their views or opinions about specific products and services. Customer reviews and ratings become a significant resource for both consumers and firms regarding their plentiful and valuable knowledge. The proposed work introduces a big data framework to analyze such reviews and ratings, starting with data collection from different sources. Followed by integrating the collected data, which comes in different formats, toward the further processing phase. Finally, the analysis and visualization steps to draw the conclusions. Our work was tested on real data collected from active web resources.

Original languageEnglish
Title of host publicationProceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021
EditorsS. Shaposhnikov
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages185-190
Number of pages6
ISBN (Electronic)9780738142753
DOIs
StatePublished - 9 Apr 2021
Event2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021 - Moscow, Russian Federation
Duration: 26 Jan 202128 Jan 2021

Publication series

NameIEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference
PublisherIEEE
ISSN (Print)2376-6557

Conference

Conference2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021
Country/TerritoryRussian Federation
CityMoscow
Period26/01/2128/01/21

    Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Safety, Risk, Reliability and Quality
  • Instrumentation
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Hardware and Architecture
  • Computer Networks and Communications

    Research areas

  • big data analytics, data processing, map-reduce, sentiment analysis, web scraping, SENTIMENT CLASSIFICATION

ID: 76591168