Natural language processing (NLP) is an AI branch that teaches computers how to understand and generate human language. Learn more with examples and videos.
Natural language processing extracts relevant pieces of data from natural text or speech using a wide range of techniques. One of these is text classification, in which parts of speech are tagged and labeled according to factors like topic, intent, and sentiment. Another technique is text extracti...
Riva Natural Language Processing (NLP) is a flexible sequence classification and sequence labeling toolkit. It takes text as input and performs a number of analysis algorithms, such as named entity recognition, intent classification, punctuation, and translation. Riva NLP is built based on common tex...
Language is nuanced. Your AI models should be too. Create bespoke NLP and NER experiences with powerful models. Generate ground truth for these models using our powerful text editor that supports classifications, entity recognition, relationships on raw text snippets or threaded conversation ...
We’ve gone through the 8 most important NLP applications and outlined the ways they can help you automate your workflow. Check the natural language processing use cases, as this will help to identify relevant examples for your industry. But please don’t stop here. Check also how to qualify...
Natural language processing (NLP) is becoming increasingly important for developers because it makes software development more intuitive, efficient, and accessible. NLP is a crucial tool for developers, because it: Simplifies coding. With NLP, developers write or describe what they want in plain ...
Most natural language processing systems are based on formal grammars. The development and study of formal grammars is known as computational linguistics. Agrammaris a description of a language; usually it identifies the sentences of the language and provides descriptions of them, for example, by de...
Machine learning:Natural language processing relies heavily onmachine learning (ML), where a computer creates outputs based on the data it's fed and then tests the success of the outputs. This can be supervised or unsupervised. In supervised machine learning, a computer analyzes data labeled by ...
Natural Language Processing together with CLU – Cognitive Language Understanding is driving accuracy in matching. Integration and Workflow Create a personalized experience through system integration, custom forms and workflow automation to take action. IT Service Management Supercharge IT Service Management...
Select Natural Language Processing Solutions We’ve Developed Examples of projects NLP development work we’ve done as NLP consultants for different clients. These natural language processing solutions are highly customized and developed from scratch to cater to the client’s unique needs, business chall...