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    <link>https://repositorio.ufpb.br/jspui/handle/123456789/36517</link>
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    <pubDate>Sun, 10 May 2026 14:09:47 GMT</pubDate>
    <dc:date>2026-05-10T14:09:47Z</dc:date>
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      <title>Unificação de avaliações de produtos em E-commerce: uma solução computacional para apoiar decisões de compra online</title>
      <link>https://repositorio.ufpb.br/jspui/handle/123456789/37945</link>
      <description>Título: Unificação de avaliações de produtos em E-commerce: uma solução computacional para apoiar decisões de compra online
Autor(es): Rocha, Lívia Fernandes da
Orientador: Viana, Jorge Henrique Norões
Abstract: This study aimed to develop a web platform designed for the collection, integration,&#xD;
and unified presentation of product reviews from e-commerce platforms, focusing on&#xD;
Amazon and Mercado Livre. The research was motivated by the problem of fragmented&#xD;
online reviews, which makes product comparison more difficult and turns the consumer&#xD;
decision-making process into a more time-consuming and dispersed task. To address this&#xD;
issue, the study adopted an applied and experimental approach, structured in stages of&#xD;
automated data extraction, processing and standardization of the collected information,&#xD;
cross-platform integration, and the development of a web application for comparative&#xD;
visualization of results. Data collection was carried out through web scraping techniques&#xD;
using the Selenium, BeautifulSoup, and Pandas libraries, while the matching of equivalent&#xD;
products across the two platforms was performed based on Natural Language Processing&#xD;
techniques, using TF-IDF and cosine similarity. As a result, a functional platform was&#xD;
developed, capable of consolidating reviews and comparative information for 124&#xD;
best-selling products from Amazon and Mercado Livre, gathering 16.568 collected reviews.&#xD;
The application allows users to visualize, within a single environment, data such as price,&#xD;
overall rating, number of reviews, and comments, as well as automatically identify the&#xD;
platform offering the best price and present summaries generated by artificial intelligence&#xD;
based on the collected comments, thereby contributing to a simpler and more efficient search&#xD;
and comparison process for consumers.
Editor: Universidade Federal da Paraíba
Tipo: TCC</description>
      <pubDate>Tue, 07 Apr 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repositorio.ufpb.br/jspui/handle/123456789/37945</guid>
      <dc:date>2026-04-07T00:00:00Z</dc:date>
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