Natural Language Processing, or NLP for short, is broadly defined as the automatic manipulation of natural language, like speech and text, by software.
Natural language processing (NLP) is a field of artificial intelligence in which computers analyze, understand, and derive meaning from human language in a smart and useful way. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation.
NLP technology allows for text analysis at scale on all manner of documents, internal systems, emails, social media data, online reviews, and more.
Better insight into business metrics. Spend more time revealing insights and developing your strategy than you do pulling data.
NLP tools allow you to automatically analyze and sort customer service tickets by topic, intent, urgency, sentiment, etc., and route them directly to the proper department or employee, so you never leave a customer in the cold.
With all the human hours you’ll save by automating processes and using data analysis to its full potential, your employees will be able to focus on what matters: their actual jobs.
Given a sentence, determine POS tags for each word (e.g., NOUN, VERB, ADV, ADJ).
Given a sentence, determine its polarity (e.g., positive, negative, neutral), or emotions (e.g., happy, sad, surprised, angry)
Given a sentence, determine which words (“mentions”) refer to the same objects (“entities”). for example (Manning is a great NLP professor, he worked in academia for over 25 years)
Many words have more than one meaning, we have to select the meaning which makes the most sense in context