Texas State and Maxfone collaborate to develop new machine learning algorithms for image classification and sentiment analysis
The development of innovative algorithms for image and text analysis is the focus of a research agreement signed between Texas State University and Instant Media Analyzer, Inc. (IMA), based in Austin, Texas.
IMA is a subsidiary of Maxfone, a big data analysis company based in Verona, Italy. The project, which will unfold over the course of 2019, aims to improve depth and efficiency of big data analysis for a better understanding of web trends and people’s behavior and needs.
Transforming raw and disorderly data into readily usable information is Maxfone’s mission: real-time strategic insights are delivered to allow institutions and companies to improve their knowledge of their target, to identify trends in public opinion and markets and be able to make better informed decisions.
The research project, the basis for possible further collaborations, is set in a context of extremely interesting development, and its signing confirms Texas State’s appreciation of IMA’s competencies and technologies.
Having been officially classified as an Emerging Research University by the Texas Higher Education Coordinating Board since 2012, Texas State is strongly oriented towards innovation and values academic excellence as one of its core traits, with a strong and continuous focus on groundbreaking research, often working closely with public and corporate institutions in numerous fields. The University offers important research opportunities both to its students — over 38,000 — and to faculty — over 1,300 professors...
This project will involve faculty members of Texas State’s Department of Computer Science Dr. Metsis, Dr. Tesic and Dr. Tamir, along with a team of students. The Professors collectively bring a notable research background to the project, both in academic and in corporate environments, acquired within the US as well as overseas. Amongst others, their areas of specialization comprise machine and deep learning, data mining, computer vision, image analytics, data analytics and compression, and human-computer interaction...
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Deadline: Aug. 30, 2019, midnight