WEB SCRAPING AND DATA SCIENCE IN APPLIED RESEARCH IN COMMUNICATION: a study on online reviews

Abstract

With the spread of access and use of information through the web and social networks, information retrieval in large volumes of data has become unfeasible by manual methods. In this applied study, the contribution of the development and use of a prototype tool for automatic data scraping from online evaluations made on Google Maps – Discovery Stars – was reported. The retrieved data allowed us to investigate how these assessments can have the potential to influence the behavior of the platform's users. Among the results, it was observed that the reading and posting of reviews impact the formation of opinion and motivations of Google Maps users.

Data Analytics in the Pharmacology Domain

“…Further, the online drugs reviews technique provides a plethora of useful information that contributes to the pharmacology domain, which helps to optimize drugs, provide optimal medical outcomes, and improve drug marketing and sales (Liu et al, 2020). It is therefore vital to scrape the data from the websites (Tenorio de Farias et al, 2021) and apply efficient analysis techniques to it; herein lies the importance of big data analysis models such as machine learning and deep learning.…”