Social media mining | Solutional Webdesign Antwerpen

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Redes sociais^[3] mining is a multifaceted process that involves gathering and analyzing data from various social media platforms. This data can include various types of content like social networking, photo sharing, news aggregation, or mensagens instantâneas^[2]. The purpose of social media mining is to identify patterns or trends in the interactions and behaviors of social media users. These patterns can then be used by organizations to design strategies, launch new programs, or introduce new products. However, it also involves challenges such as handling large data sets and removing irrelevant information. These processes require knowledge from various fields including computador^[5] science and statistics. As tecnologia^[4] advances, social media mining is expected to evolve and become more integrated with fields like inteligência artificial^[1]. Ethical concerns, particularly around privacidade^[6], are expected to grow in importance in the future. Research in this field is vast, encompassing topics like public health monitoring and network measures.

Definições de termos

1. ↑ inteligência artificial.

1 A Inteligência Artificial (IA) refere-se ao domínio da ciência da computação que tem por objetivo criar sistemas capazes de realizar tarefas que normalmente exigiriam a inteligência humana. Estas tarefas incluem o raciocínio, a aprendizagem, o planeamento, a perceção e a compreensão da linguagem. A IA tem origem em diferentes domínios, incluindo a psicologia, a linguística, a filosofia e a neurociência. Este domínio é proeminente no desenvolvimento de modelos de aprendizagem automática e de sistemas de processamento de linguagem natural. Desempenha também um papel importante na criação de assistentes virtuais e de sistemas de computação afectiva. As aplicações da IA estendem-se a vários sectores, incluindo os cuidados de saúde, a indústria, a administração pública e a educação. Apesar dos seus benefícios, a IA também suscita preocupações éticas e sociais, exigindo políticas regulamentares. A IA continua a evoluir com técnicas avançadas, como a aprendizagem profunda e a IA generativa, oferecendo novas possibilidades em vários sectores.

2 A Inteligência Artificial, vulgarmente conhecida por IA, é um domínio da ciência informática dedicado à criação de máquinas inteligentes que executam tarefas que normalmente requerem o intelecto humano. Estas tarefas incluem a resolução de problemas, o reconhecimento do discurso, a compreensão da linguagem natural e a tomada de decisões. A IA divide-se em dois tipos: a IA restrita, que é concebida para executar uma tarefa específica, como o reconhecimento de voz, e a IA geral, que pode executar quaisquer tarefas intelectuais que um ser humano possa fazer. É uma tecnologia em constante evolução que se baseia em vários domínios, incluindo a informática, a matemática, a psicologia, a linguística e a neurociência. Os conceitos fundamentais da IA incluem o raciocínio, a representação do conhecimento, o planeamento, o processamento da linguagem natural e a perceção. A IA tem aplicações abrangentes em vários sectores, desde os cuidados de saúde e os jogos até ao militar e à criatividade, e as suas considerações e desafios éticos são fundamentais para o seu desenvolvimento e implementação.

2. ↑ mensagens instantâneas. Instant Messaging (IM) is a digital communication method that enables real-time transmission of text-based messages over internet or computer networks. Unlike email, IM facilitates immediate, interactive conversation, often enhanced with emojis, file transfers, voice-over IP, and video chat. IM systems can function independently or as part of a larger social media platform. They have evolved significantly since early systems like Talkomatic and CompuServe CB Simulator, developing into graphical user interfaces with a wide range of features. Today's popular services, including Signal, Telegram, WhatsApp, and Snapchat, offer private and group messaging, advanced security measures such as end-to-end encryption, and integration with social networks. They play a vital role in both personal communication and business environments, facilitating effective real-time communication with conversation records for future reference.

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Glossário

Exploração de redes sociais (Wikipédia)

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Exploração de redes sociais is the process of obtaining big data from user-generated content on social media sites and mobile apps in order to extract actionable patterns, form conclusions about users, and act upon the information, often for the purpose of advertising to users or conducting research. The term is an analogy to the resource extraction process of mining for rare minerals. Resource extraction mining requires mining companies to shift through vast quantities of raw ore to find the precious minerals; likewise, social media mining requires human data analysts and automated software programs to shift through massive amounts of raw social media data in order to discern patterns and trends relating to social media usage, online behaviours, sharing of content, connections between individuals, online buying behaviour, and more. These patterns and trends are of interest to companies, governments and not-for-profit organizations, as these organizations can use these patterns and trends to design their strategies or introduce new programs, new products, processes or services.

Social media mining uses a range of basic concepts from computer science, data mining, machine learning e statistics. Social media miners develop algorithms suitable for investigating massive files of social media data. Social media mining is based on theories and methodologies from social network analysis, network science, sociology, ethnography, optimization and mathematics. It encompasses the tools to formally represent, measure and model meaningful patterns from large-scale social media data. In the 2010s, major corporations, governments and not-for-profit organizations engaged in social media mining to obtain data about customers, clients and citizens.

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