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About FemText

FemText is an independent technical initiative to promote social change led by Michal Zeevi. The initiative strives to establish a sophisticated and innovative information platform to strengthen the connection between knowledge and the promotion of gender equality and to create a space of tools and opportunities to promote social change. The foundations of the FemText project are rooted in the vision of the semantic web of Berners-Lee et al (2001), a vision that marks the transition from a "web of documents" to a "web of data", a network where information is structured, organized, analyzed, cataloged and linked. FemText's information platform will be based on cutting-edge technologies from the worlds of natural language analysis, Text Mining, ontological models, vector analysis of texts, graphic representation of texts, creation of semantic networks, machine learning, intelligent searches that "understand" the searcher's intent, and other methods and tools that will make it possible to process and make available the texts that will be collected into the platform. This processing and analyzing of the texts is intended to achieve a high ability to specify the texts that are relevant to what the surfer is looking for, and to enable receiving answers to complex queries.

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