How happy are your customers?What’s the first metric that popped into your mind? If your answer was Net Promoter Score or NPS Congratulations! you are […] Read More
Category: Text Analytics
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
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
Keyword Extractor is a powerful tool in text analysis that can be used to index data, generate tag clouds and accelerate the searching time. Keyword […] Read More
More than 80% of data in most organizations is about how the customers are engaging with the product. Monitoring this relationship using text mining […] Read More
Recently, we successfully completed beta phase of ParallelDots Excel add-in, a solution for using ParallelDots NLP APIs to do text analysis on unstructured data without […] Read More
With the recent advances in deep learning, the ability of algorithms to analyze text has improved considerably. Now analyzing digital and social media is not restricted […] Read More
Text analysis, as a whole, is an emerging field of study. Fields such as Marketing, Product Management, Academia, and Governance are already leveraging the […] Read More
Named Entity Recognition is a process where an algorithm takes a string of text (sentence or paragraph) as input and identifies relevant nouns (people, places, and […] Read More
Introduction One of Machine Learning’s most successful paradigm is supervised learning which lets you build a generalization model by learning from a lot of training […] Read More