Natural Language Processing
Natural Language Processing
Language makes us human. We have generated a huge amount of information stored as unstructured text which requires specific tools to extract its value. In the past few years, Natural Language Processing (NLP) has experienced a great development thanks to the powerful techniques of Deep Learning, which have now become state-of-the-art in most applications.
Collects and classifies text from any source based on a topic of interest to analyze the information and take action.
Finds relevant information in large amounts of documents or text, allowing filtering, semantic searches and being more efficient.
Classify and identify key data in your free texts in an automated way.
Understand the main topics of your texts and organize them.
Get the most relevant information from your documents while saving time.
Get the most relevant information from your documents saving time.
- Sentiment analysis
- Smart information retrival
- Digital report processing
- Topic modeling
- Resúmenes Automáticos
- Agentes Conversacionales
Predictive Models
We generate solutions to understand the influence of various causes in an event to suggest concrete actions and improve results.
Computer Vision
We generate algorithms capable of interpreting and organizing data in image and video form.
Strategic Thinking
We design and model scenarios that allow a better understanding of your own and competitor´s moves, to improve results and understand the end user behavior.