At ParallelDots, we take user experience very seriously. When it comes to our products and tools, we strive to provide the best. The same applies […] Read More
Category: Text Analytics
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
Sentiment analysis is contexual mining of text which identifies and extracts subjective information in source material, and helping a business to understand the social sentiment of […] Read More
Sarcasm is one of the oldest and by far the wittiest of tools used by linguists all around the world. A sarcastic comment appears to […] Read More
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
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
