This article explains about a solution which automates text data mining with NLP which was developed for a company who offers research insights to their clients by analyzing bulk amounts of unprocessed data from various sources. Manual analysis of large quantities of data resulted in wastage of time, resources and human effort and also affected the quality of end reports. Keyword identification which is really important in processing phase were also tedious.
After the integration of NLP technology to the insight management platform, effective automated data mining and deep text analysis were made possible by performing NLP techniques like NER, POS tagging, sentiment analysis, relation extraction, dependency parsing etc.
There occurred a 50% improvement in efficient text identification with the help of deep text analysis and 100% customized and relevant hypothesis were delivered because of effective extraction and representation of data.
YOU ARE READING
Automation of text data mining with NLP
RandomThis story is all about a powerful solution designed to process large quantities of unstructured text data to mine valuable business insights from them by simplifying analysis and semantic processing of data. Read more at external link embedded.
