Automated News Analysis
News contains vital information that is ripe for extraction such as facts about the world, general trends, people and companies, current trends.
Now machines are reading the news like humans do, and not only are they capable of extractintg key facts and figures, but specific information about the article type, its relevance to certain key entities such as companies, products or people.
This is possible through training machine learning classifiers with some clever natural language processing that sits at its backbone. That coupled with historically marked data equals an interesting machine learning solution capable of tremendous insight extraction from the day’s news. Unicorn Technologies has successfully deployed numerous Analytics solutions in this domain with a confident measure of accuracy.
Sentiment Detection using NLP and Machine Learning
Perhaps one of the most important aspects for companies and people is the effect of text whether in the news, reviews or tweets on readers. Using large volumes of historical data to help, we are able to successfully predict the sentiment automatically pertaining to individual entities in text.
Text Parsing and Relevancy
Answering questions such as what parts of the text is talking about a particular entitiy through clever features comprising of part of speech tagging, coreference resolution.This leads to interesting data points on how the text focus is shifting over time.
Categorization of text based solely on its language, word densities and distributions to categorize text under specific categories such as industry focus.
Geo Clustering (On-going)
Improving location permanence through geo-location data points.
Innovations in Digital Marketing (Ongoing)
Predicting reach of digital marketing campaigns.