Navigation
We develop and apply techniques to provide computer programs with the ability to understand natural human language. We focus on the field of Natural Language Processing (NLP), which develops algorithms and models to analyze, understand and generate text automatically.
Human language is complex and full of subtleties, such as ambiguity, context and linguistic variations. Our goal is to train machines to interpret and respond to human language effectively, thus opening up a wide range of possibilities in terms of applications and services.
Natural Language Processing (NLP) technology has a significant impact in several areas of our society. Some of the issues we address include.
Conversational assistants: we develop chatbots and virtual assistants capable of holding natural conversations with people. These assistants can provide technical support, provide information, help in decision making or even be companion tools for people in situations of exclusion or dependence.
2. Opinion analysis: we use NLP techniques to analyze and recognize opinions expressed in text, such as product ratings on the Internet or comments on social networks. This helps to understand user preferences and trends, which can be useful for business decision making, designing marketing strategies or improving products and services.
3. Inappropriate content detection: NLP technology is also applied in the detection of inappropriate or dangerous online content, such as terrorist propaganda or radical groups. These automatic detection systems help maintain a safe Internet environment and prevent the spread of harmful information.
In summary, our research and application of Natural Language Processing (NLP) technologies has as its main objective to provide computer programs with the ability to understand and process human language effectively. This opens up a wide range of possibilities in virtual assistants, sentiment analysis and inappropriate content detection, among other fields. We are committed to developing professional and rigorous solutions that drive the advancement of NLP technology and improve human-computer interaction.”
Demonstration of system or prototype in a real environment.