Descripció

A system that enables an exhaustive analysis to be performed on all kinds of unstructured information, both internal and external, to search for and organise relevant information, providing useful conclusions. Hybrid AI (NLP-NLU and ML) based on the compression of human language to analyse, process and disambiguate any concept. By assigning meaning to words based on context, it increases the efficiency of analysis and automates intelligence processes, overcoming the limitations of conventional keyword-based engines.

What can be expected from a solution like this one?

• Semantic analysis and weighting of tourists’ opinions in relation to the destination and/or the attractions and activities: heritage and nature, sports, restaurants, oenology, etc., that will they choose as part of their next holiday.
• Semantic analysis and weighting of local residents regarding the arrival of tourists and their impact on the development of local businesses.
• Reputational analysis of institutions, destinations and/or the activities and campaigns undertaken.
•  Monitoring, compilation and early detection of trends, news and comments regarding activities being carried out in relation to thetourist destination and the different plans: culture, heritage and nature, oenology, restoration.
• Analysis of the impact of the different campaigns performed and on tourist destinations in line with the different plans. Others of interest to the region.

What sources can be used?

TISS can easily work with a wide range of information sources and data formats (doc, PDF, HTML, TXT, etc.), traditional sources (system folders, the internet, intranets, RSS, etc.) and connectors to obtain data from alternate sources (social media, emails, text messages, news channels), document libraries and knowledge bases. It allows the customisation of information from any volume of unstructured content for open-source intelligence activities and operational risk management. It also manages structured information from conventional relational databases, and can be adapted to obtain and analyse information directly from the monitoring devices.

This multilingual solution is based on a semantic network that contains millions of concepts and relationships between meanings, a critical aspect for the tourism sector.