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Nueva solución de inteligencia artificial para análisis automático de textos escritos

Resumen

Tipo:
Oferta Tecnológica
Referencia:
TOIT20160126008
Publicado:
11/02/2016
Caducidad:
11/02/2017
Resumen:
Un equipo de investigación italiano ha desarrollado una solución innovadora para analizar automáticamente un texto escrito y generar una lista corta de claves que resuman los contenidos y principales conceptos. Esta tecnología destaca sobre los sistemas actuales porque permite un mayor grado de automatización y ofrece una mayor precisión y eficacia en la extracción de frases clave relevantes. El equipo de investigación busca socios industriales con el fin de establecer acuerdos de cooperación técnica, servicio y comercialización con asistencia técnica.

Details

Tittle:
Novel artificial intelligence solution for automatic written text content analysis
Summary:
An Italian research group has developed an innovative solution for automatically analysing a written text and generating a short list of keywords summarizing its contents and main concepts. The technology stands out from currently available systems thanks to greater automation, improved accuracy and efficacy in extracting relevant keyphrases. The team is looking for technical cooperation, services agreement, commercial agreement with technical assistance.
Description:
The Artificial Intelligence Laboratory of an Italian University has developed a novel set of algorithms for automatic text content identification and is currently looking for industrial partners for further technical development, services agreements and commercial agreements with technical assistance.
The reference market segment comprises software for content management, automatic text analysis, data ranking and extraction applications. Over the last few years, technological developments in this field have led to market enlargement: demand is no longer limited to major corporations and web players, but also includes smaller companies and specialized operators. Strong market interest for Big Data mining has provided additional impulse. At the global level, sector analyses estimate that the text analysis software market was worth about USD 1.5 billion in 2014, with an estimated annual growth rate of over 10% in the next five years.
The proposed technology is of interest to manufacturers of software and applications for the management, classification and ranking of contents and for the management of archives and text documents; providers of digitalization services and management of non-structured contents and suppliers of technologies for the media and publishing sectors.
Potential users of the new application, which can be integrated with other currently available software solutions, include ICT companies, communications and media companies, web marketing operators, companies that must handle large amounts of non-structured texts, and knowledge workers (researchers, analysts, etc.).
Advantages and Innovations:
The technology adopts a knowledge-based artificial intelligence approach which stands out from currently available systems thanks to its greater automation, improved accuracy in text analysis and better efficacy in extracting the relevant keyphrases. The technology carries out a multi-level semantic analysis and is able to produce accurate keyphrases using an analytical process akin to the one used by a human operator. Unlike other current systems, the algorithm is not based on frequency analysis but on an innovative analytical procedure combining different sources: linguistic analysis, statistical analysis, text structure, meta-data analysis and web 2.0 sources.
Stage of Development:
Prototype available for demonstration
IPs:
Secret Know-how

Partner sought

Type and Role of Partner Sought:
The research team is looking for industrial partners for further technical co-development of the technology and commercial agreement. Potentially interested partners are software houses, service providers for digitalization services, archive and document management, technology providers for media and publishing sectors.

Client

Type and Size of Client:
University
Already Engaged in Trans-National Cooperation:
Si
Languages Spoken:
English
Italian

Keywords

Technology Keywords:
01003003 Artificial Intelligence (AI)
01005005 Filtrado de información, semántica, estadística
01005004 Human Language Technologies
01003013 Information Technology/Informatics