Boston, MA, United States of America

M Ihsan Ecemis


Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2010-2012

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2 patents (USPTO):Explore Patents

Title: Innovations of M Ihsan Ecemis

Introduction

M Ihsan Ecemis is a notable inventor based in Boston, MA. He has made significant contributions to the field of text data analysis and visualization. With a total of two patents to his name, Ecemis continues to push the boundaries of innovation in his area of expertise.

Latest Patents

Ecemis's latest patents focus on methods and systems for fast, generic, online and offline, multi-source text analysis and visualization. These innovations enable users to specify a set of text data sources and visualize the content in an overview of salient features, represented as a network of words. Users can focus on specific words to visualize connections related to those words. The visualization includes clustering of relevant concepts within the network. Upon selecting a word, users can access contextual information, such as links to articles where the word appears. The analysis employs textual statistical correlation models to assign weights to words and links between them. The network display utilizes a force-based network layout algorithm, and extracting clusters for display involves identifying 'communities of words' as if the network were a social network.

Career Highlights

Ecemis is currently associated with Icosystem Corporation, where he applies his expertise in text data analysis. His work has garnered attention for its innovative approach to visualizing complex data sets.

Collaborations

Some of his notable coworkers include Pablo Funes and Elena Popovici, who contribute to the collaborative environment at Icosystem Corporation.

Conclusion

M Ihsan Ecemis is a pioneering inventor whose work in text data analysis and visualization is shaping the future of how we interact with information. His contributions are significant in advancing the field and enhancing user experience in data visualization.

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