LANGUAGE AND INFORMATION SYSTEMS GROUP
The Natural Language Processing and Information Systems Group is a research group at the University of Alicante focused on Natural Language Processing. Our goal is to bring computers closer to human language to facilitate understading between humans and machines with the purpose of replacing mechanical taks with other highly productive ones.
Our research focuses on human language technologies (HLT) and deals with topics such as the resolution of lexical, morphological and structural ambiguities, automatic summarization, applications, information retrieval systems and answer search. These investigations are financed at a European, national and regional level, and thanks to this, innovative applications and tools have been developed, in addition to also giving us the possibility of attending the most relevant conferences in our research area, resulting in a large number of publications in the best forums, magazines and media.
On this web page we show all the projects, products and publications in which our group has worked on and developed.
Since 1993, from a small number of professors from the Department of Languages and Information Systems (DLSI), the group has been growing, thanks to the effort and motivation of all its members. Currently, the group has more than thirty members.
Some of our skills
Creation of new surveillance or decision-making processes, generation of new documents for specific purposes, analysis of the sentiment and opinion of texts, production of automatic summaries, automatically simplify texts to make them more accessible to a large audience.
Some statistics about our research
Products and resources
Lines of code
GPLSI Oportunity is a web application that automatically tracks and classifies information from newspapers, websites and official bulletins so that only get the information that interests you, discarding the rest. From each tender and award of a newsletter, the system extracts the most relevant information automatically.
GPLSI Social Analytics is an application that retrieves messages from users of Twitter and Instagram on a specific topic and, automatically, evaluates the opinions expressed in the messages . This allows you to monitor people's opinions on different topics, such as a tourist destination or an election. In this way, and thanks to this tool, it is possible to analyze and predict opinions and trends.
GPLSI Social Observer is an application that retrieves tweets from Twitter on a specific topic and, automatically, evaluates the opinions expressed in the messages. This allows you to monitor people's opinions about a celebrity, politician, soccer team, product, stock market investment, or even an election. In this way, and thanks to this tool, it is possible to analyze and predict opinions and trends.
GPLSI Social Rankings is a web application that allows you to monitor in real time the evaluation of different entities, brands, products and people on Twitter. It uses sentiment analysis and opinion mining techniques to automatically classify tweets as positive or negative, and then uses that information to provide a numerical rating for each entity. This generates a ranking of entities to see in a very intuitive way which is the best and worst valued, as well as the evolution of the valuations over time. Thanks to this tool it is possible to carry out different analyzes to predict opinions and trends.
We are working with a large number of projects funded at European, national and regional level and even privately, which generate resources, software and products that are successfully used in commercial products or as a base for other projects.
Publications in the best and most well-known research forums and media thanks to our constant and active participation in the most relevant conferences in our research area.
Tagged corpora, document collections and ontologies at your disposal for research.
Citation analysis that uses counting methods causes deformations in impact factor assessment. To enrich impact factor calculation is necessary to understand the kind of influence that the contributions of an author have over another ́s work. For this purpose, it is required to perform citation content analysis to obtain its function, polarity and influence in a context within an article that mentioned it. In this corpus, we focus in the definition of an annotation scheme aimed at creating a public access corpus that be the basis of collaborative work in this field, in order to develop citation content analysis to obtain criteria for impact evaluation.