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
Category: Text Analytics
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
Digitization has changed the way we process and analyze information. There is an exponential increase in online availability of information. From web pages to emails, […] Read More
This year has been an exciting one, and we wouldn’t be here without you! We launched multiple product offerings leveraging the most cutting-edge advances in […] Read More
Our journey at a glance At ParallelDots, we envision a future where intelligent machines will assist humans in performing a plethora of tasks which incorporates […] Read More
AI algorithms can analyze a string of text and give an indication regarding what is the ‘intention’ underlying it. Sentiment analysis is a popular NLP […] Read More
Sentiment analysis and opinion mining arrive from the field of study that deals with analyzing emotions, attitude, and sentiments attached with the text. It is […] Read More
Named Entity Recognition, also known as entity extraction classifies named entities that are present in a text into pre-defined categories. These categories can be individuals, […] Read More