Historical News Extraction: Using Keyword
Historical News and artifacts may appear to be of great importance to the ever-evolving field of scholars and analysts.
There are several ways to extract data, especially historical news, it can be either a tiresome task or a quick task all of it relies on the efficiency of the user and the method they choose. This blog familiarizes the reader with the concept of historical news extraction and proceeds to elaborate on different methods of historical news extraction;
Individual Websites
Specialized Databases
Web Scraping Tools
Text Analysis Tools
Moving on, we familiarize ourselves with the three main steps to ensure efficient historical news extraction.
Finalizing the Keyword
Choosing q, qInTitle and qInMeta parameters
Analyzing the data
One of the crucial parts of historical news extraction is knowing the optimum ways of extracting historical data. These ways not only enhance a user’s historical news extraction procedure but also make the whole procedure reliable and less complex.
The major key factors responsible for enhancing the extraction procedure are:
- Clear Instruction
(Helps the API segregate through tons and tons of data)
- Using filters available
(Helps look for accurate extraction by letting you adjust the sources, countries, languages, categories, and even authors.)
- Using different scripting languages
(Scripting languages such as Python and R can be used for repetitive tasks and bulk extractions)
- Efficient use of resources
(For better results, one must go the extra mile and look for extensive documents, tutorials, and blogs made available by Newsdata.io)
- Using Text Analysis Tools
(Text analysis tools allow the user to perform sentiment analysis, entity extraction, and topic modeling. These tools can further be used to analyze extracted news articles for underlying trends, conduct sentiment analysis, and identify key topics)
These were a few of the many ways to ensure optimal news extraction ranging from day-to-day working steps to when a more intensive extraction is to be carried out.
Successful Data extraction is more than just finding the right topic or keyword. Instead, data extraction is something that requires careful and keen knowledge to be successful. Choosing the right website with reliable sources is as important as finding the right tools. Knowing your way around how a machine operates and the basics of web scraping and its workings is always an added advantage. A user who isn’t sure of what it is that he is looking for often fails to get the desired output.
Blog Source: https://newsdata.io/blog/historical-news-extractor-using-keyword/