Analyse Your News Data With NewsData.io API
Analyse massive amounts of historical and real-time news data from various sources to generate game-changing insights for data-driven decision making
Topic Labelling
Automate summarization of text from large volumes of news data. Streamline classification/labeling of news sources compiled from various publishers based on predefined keywords. Find and summarize relevant news sources with ease. Track and analyze every news topic associated with your brand or business.
Intent Detection
Track all news sources related to your business, brand, product, or service. Analyze and identify the intent of the author based on the tone expressed in any piece of text or news source. Track and classify news from known publishers to identify positive and negative news sources about your business. Take necessary measures in real-time to improve your public image.
Sentiment Analysis
Track all breaking news headlines and news archives related to any brand, product, or service. Analyze and classify news sources based on the sentiments expressed by the author. Identify positive news sources to know where you excel and what consumers like the most. Similarly, track and identify negative sources to know where your business lacks and take immediate measures to improve public perception.
Emotion Analysis
Often, just analyzing the sentiment expressed in any text is not enough. To truly evaluate your brand or business’s public perception you also need to know the emotions in any given news source. Identify the emotions expressed in each news source such as fear, anger, happiness, love, inspiration, sadness, etc. Evaluate your brand’s reputation and identify areas of focused improvement.
Entity Extraction
News sources mention a lot of entities such as people, location, product, brand name, monetary values, etc. Automate the identification and extraction of all mentioned entities from news sources relevant to you. You can also use it to identify news mentioning specific entities from extensive news archives.
Semantic Similarities
Track all breaking news headlines and news archives related to any brand, product, or service. Analyze and classify news sources based on the sentiments expressed by the author. Identify positive news sources to know where you excel and what consumers like the most. Similarly, track and identify negative sources to know where your business lacks and take immediate measures to improve public perception.