News, Journalism and Research Datasets | Grepsr
Intellizence Industry News Signals | API | AI-Sourced News Data (US & Canada)
Dow Jones Newswires - USA news data by Accern (real-time, 30+ metrics, 14 years history)
Alqami Media Publication Platform | Global news articles, 42 languages, real-time
QUICK IR News Bulletin: News Data for Japan
Nikkei Japan News | covers 3,000 stocks and private companies
FACTSET News & Research Data (Global Coverage) - Real-time Market & Financial Intelligence
SCAN-Interfax Russia & CIS Largest Online News Archive Dating Back to 1983
BA - Business Signals & Scores; News Analytics-based Signals for 700,000+ Companies Globally; 2 Years
Global Text, News, Insider Transaction & Corporate Events Data - RavenPack Analytics 1.0
The Ultimate Guide to News Data 2021
What is News Data?
News data is a sub-category of web data. It is information derived from various sources all over the internet to be used in analysis. News data is often used to create strategies especially in trading, but can also be used in advertising, trends modelling and market analysis. News data is derived from web texts, after which it is analyzed through the use of tools such as machine learning (ML) and natural language processing (NLP), as well as other analyzing tools to calculate news sentiment.
How is News Data collected?
News data is collected from and by a variety of sources on the internet. News data is collected in raw form as web metrics, newsletter subscriptions, and advertising impressions. Such data is collected through the means of surveys, questionnaires, opinions and interviews. It may also be collected through insights from web analytics or digital footprints and web activity. News data is collected, recorded and analyzed. Market research and opinions from experts, traders, firms, as well as regulatory bodies all contribute to the process of news data collection. After this, the data is then disseminated, ready to use in making decisions and strategy planning.
What are the attributes of News Data?
News data must possess certain attributes before it is considered verified, accurate and trustworthy. Primarily, there are a few factors to be considered when purchasing news data.
Qualitative nature: qualitative attributes refer to certain qualities or characteristics such as nominal values, dealing with names and symbols. It must also have binary attributes, as well as be ordinal.
Quantitative nature: this concerns the numeric values in news.
These attributes are what should be consistently present in any news dataset. The absence of any could render the dataset incomplete and therefore of no use. Any decisions based on the data would be misinformed.
What is News Data used for?
News data is primarily useful for the valuation of stock prices and property. Information from the general real estate market and stock exchanges helps to determine the value of properties and finanical assets. Undervalued properties and stocks are noticed, overpriced properties are regulated, and competitive valuation is facilitated by news data. In a nutshell, price determination of properties in real estate and stocks in the financial market is facilitated by news data. Real estate and stock market investors use news data to stay ahead of their competition. In a wider sense, news data is used to make decisions and assessments across industries and verticals.
How can a user assess the quality of News Data?
News data is just like any other data - it’s only useful if it’s high-quality. To determine the quality of news data and for a news dataset to be considered of high quality, then it must pass certain tests.
First of all, news data must be reliable. It must come from reliable sources that can be trusted. This means buying from data providers which have good reviews and solid customer testimonials. News data must also be precise, and must not contain any errors whatsoever. News data also has to operate on the basis of timeliness, as newsworthy events are always occurring, and decisions need to be made quickly so that investment opportunities are not missed.
Who are the best News Data providers?
Finding the right News Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular News Data providers that you might want to buy News Data from are GBSN Research, ESG Analytics, Intrinio, Grepsr, and Alqami.
Where can I buy News Data?
Data providers and vendors listed on Datarade sell News Data products and samples. Popular News Data products and datasets available on our platform are News, Journalism and Research Datasets | Grepsr by Grepsr, Intellizence Industry News Signals | API | AI-Sourced News Data (US & Canada) by Intellizence, and Dow Jones Newswires - USA news data by Accern (real-time, 30+ metrics, 14 years history) by Accern.
How can I get News Data?
You can get News Data via a range of delivery methods - the right one for you depends on your use case. For example, historical News Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time News Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to News Data?
What are the most common use cases for News Data?
The top use cases for News Data are Property Valuation.