Named Entity Recognition (NER) is a particularly interesting branch of Natural Language Processing (NLP) and a subpart of Information Retrieval (IR). A NER model is […] Read More
Category: Data Science
ParallelDots has distinguished itself based on its innovation stemming from its rich research centric environment. At ParallelDots the mantra is not merely ‘getting the job […] Read More
How do you measure your customers’ happiness? What’s the first metric that pops into your mind? If your answer was Net Promoter Score (or NPS), […] Read More
An untrained statistical model is like a Ferrari that simply will not run. In other words, it is simply not of much use. Supervised Learning […] Read More
Word embeddings are basically a form of word representation that bridges the human understanding of language to that of a machine. Word embeddings are distributed […] Read More
AI research is all around us starting from Amazon’s Alexa to Google Home. Gone are the days when AI was considered a thing of the […] Read More
Self-learning and Automation of workflow are not new terms in the professional world. In fact, they are the two most basic advice given to humans […] Read More
Artificial Intelligence is a hot selling cake in Information Technology Sector these days. It is very powerful and can help B2B sector to get actionable insight from […] Read More
In a world where we generate 2.5 quintillions (number of zeros = 18!) bytes of data every day, text analysis has become a key tool […] Read More
Machine learning has made it more accessible to create meaningful insights in a data-rich world. This includes data from customer surveys, qualitative primary research, and […] Read More