NLP vs NLU vs. NLG: the differences between three natural language processing concepts Systems can improve user experience and communication by using NLP’s language generation. NLP models can determine text sentiment—positive, negative, or neutral—using several methods. This analysis helps analyze public opinion, client feedback, social media sentiments, and other textualRead More

Tips for Overcoming Natural Language Processing Challenges The technology relieves employees of manual entry of data, cuts related errors, and enables automated data capture. If not, you’d better take a hard look at how AI-based solutions address the challenges of text analysis and data retrieval. For example, it can beRead More

Why Natural Language Processing NLP is Important for Businesses These improvements expand the breadth and depth of data that can be analyzed. NLP techniques are used in language translation to enable computers to understand and translate text from one language to another. Machine learning algorithms are used to identify patternsRead More

What is Natural Language Processing? An Introduction to NLP However, by 1966, progress had stalled, and the Automatic Language Processing Advisory Committee (known as ALPAC)—a US government agency set up to evaluate the progress in computational linguistics—released a sobering report. The report stated that machine translation was more expensive, lessRead More