Breaking language barriers with multilingual NLP
01/ Sample applications of Natural Language Processing
Text classification
NLP models can be trained to automatically assign a set of predefined categories to any kind of text, whether that’s entire documents, parts of documents, messages, summaries, etc.
Sentiment analysis
Sentiment analysis focuses on identifying the subjective information in text and classifying each as positive, negative, or neutral.
Text similarity
Text similarity is the task of automatically determining how ‘close’ two pieces of text are both in structure as in meaning (eg. understand that 'what year were you born?' and 'how old are you?' are similar questions)
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02/ Your NLP journey with Peltarion
This is how it works
The Peltarion Platform is an operational AI platform for building and deploying AI models that is capable of executing a broad range of deep learning-based use cases. The platform carries prebuilt and pretrained networks ready for the users to work on, and provides an incredible ease of use for iterating, evaluating and refining models. When finalised, you just integrate your Peltarion model into your off platform project and you are ready to go.
Ready to dig deeper?
Read our blog posts, use cases or test a few of our tutorials to get more detailed information about the benefits of using the Peltarion platform. Let's go!
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Customer stories /
Creating smart market research surveys with AI
Asking questions could be a really simple task, but knowing how to professionally build up a survey with the “right” questions is a whole scientific field of its own. Read about how we partnered with IPSOS to systematize the process of finding new alternatives for questions with help of AI.
![The potential behind sentiment analysis]()
The potential behind sentiment analysis
Understanding the customer’s perception of a product, service or brand is essential for any company in any industry. Sentiment analysis extracts the subjective information in text and classifies it as positive, negative or neutral.
