Natural Language Processing
In order to process and analyze unstructured data with legacy analytics, a great deal of organizing, categorizing, cleaning, and preparing needed to take place in order to then decide what kind of information you wanted to find. This time consuming, backward approach to data analysis created bias results that took months to achieve. With natural language processing powered by AI and machine learning, Stratifyd takes the difficult manual labor out of data preparation and allows the data to tell the story of what is and is not relevant.
Stratifyd thoroughly cleans your data so that there is no upfront work involved before your information is ready for analysis. We use tokenization, lemmatization, part of speech tagging, sentiment analysis, and stemming to clean, organize, and categorize data automatically. We also support 25 different languages with this process, allowing the data, no matter the content, to tell the story that is more relevant to you.
Unigrams and Bigrams are generated from this stage of analysis that point you to the relevant topics and subjects that matter most to you. These greatly aid analysis by generating signposts that point the way to those things you need to know.