Efficient Analysis of Complex Articles
Students and academics read hundreds of papers per year, a very time-consuming and lonely endeavor.
TagDox allows them to utilize the power of machine learning, in order to comprehend articles much faster.
Important information can be summarized and easily accessed in the future. Inferior content can be avoided, saving valuable time.
Checklists or "Tagsets" mark important segments of documents.
Use built-in checklists or custom-tailor your own.
TagDox utilizes machine-learning to suggest similar tags in future documents.
Mark segments of text that contain the knowledge you’d like to share and retain.
In addition to you highlighting the text yourself, TagDox can automatically suggest relevant sections.
Share and discuss your highlighted segments together with other students, lecturers, or academics.
Avoid the need for endless emails and document attachments.
Supplement the traditional peer review process or even replace it in a reliable way.
All the tags from individual documents are collected in a central database that can easily be searched and filtered.
Store and share an entire syllabus with students and colleagues, using TagDox.