Web Scraping, Data Mining, and Natural Language Processing

What is the difference between web scraping and data mining?

Web scraping is the process of extracting data from websites, while data mining is the process of extracting valuable information from large data sets. Web scraping is often coupled with data mining, as the scraped data usually contains a lot of noise. Data mining turns that noise into insights.

What are some applications of natural language processing?

Natural language processing has exploded recently thanks to general-purpose AI tools that can synthesize meaning from text. These tools have become easily accessible and affordable, and can be integrated with other software. Natural language processing can be used for tasks such as automatic summarization, text classification, part-of-speech tagging, and entity recognition.

It can also be used to mine data from text, like product reviews for example. A general AI can be given scraped reviews and used to extract keywords, sentiment, and more.

How can data visualization be used to improve the user experience?

Some common applications of data visualization are exploratory data analysis, data-driven decision making, and communicating results to stakeholders. Data visualization can be used to improve the user experience by providing a clear and concise way to present data. It can also help users to quickly understand complex data sets, and identify patterns and trends.


  • CRMs/ERPs
  • Payment Gateways
  • Accounting Systems
  • Lead Managements Tools
  • Web Apps
  • Legacy Systems
  • E-Commerce Systems
  • Freight/Shipping Systems
  • Social Media
  • Email Services

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